Patent Application
20250180675
This application claims priority pursuant to 35 U.S.C. 119 (a) to Indian Application No. 202311081383, filed Nov. 30, 2023, which application is incorporated herein by reference in its entirety.
Example embodiments of the present disclosure relate generally to magnetic oil plugs, and in particular, integrating a Hall-effect based ferrous debris monitoring sensor into a magnetic oil plug.
Monitoring system fluids (e.g., engine, transmission, gearbox, radiators/cooling, etc.) for metal debris caused by system component (e.g., bearings, gears, etc.) wear and/or failure may be essential for determining the health of a system. For example, monitoring an amount of metal debris in system fluids may be used to determine whether preventative maintenance should be performed to avoid costly damage to system/components and/or dealing with unscheduled failures leading to safety concerns, downtime/lost time cost, lost production, and unnecessary overtime. Monitoring an amount of metal debris in system fluids may also allow for avoiding prematurely performing maintenance on or replacing equipment when not needed.
Conventional approaches for determining metal debris in system fluids may comprise using passive, nonelectric, magnetic debris plugs. For example, a conventional oil debris plugs may accumulate ferrous debris from system components (bearings, gears, etc.) wear and/or failure. However, conventional oil debris plugs may only be examined during routine maintenance.
Applicant has identified shortcomings associated with conventional debris plugs.
Various embodiments described herein relate to components, apparatuses, and systems for detecting ferrous debris deposition on a debris sensor apparatus. In accordance with various embodiments of the present disclosure, a debris sensor apparatus is provided. In some embodiments, the debris sensor apparatus comprises a head portion; a male-threaded portion; and a shaft comprising a debris sensor assembly, the debris sensor assembly comprising one or more permanent magnets comprising a cavity on a first end; a Hall-effect sensor configured within the cavity; a first pole piece configured adjacent to a second end of the one or more permanent magnets; and a second pole piece configured adjacent to the first end.
In some embodiments, the debris sensor apparatus further comprises a printed circuit board assembly coupled to the Hall-effect sensor. In some embodiments, the printed circuit board comprises one or more processors and a communication interface configured to transmit signal output associated with the Hall-effect sensor to a data analysis computing entity. In some embodiments, the signal output is representative of debris measurement data comprising one or more values of magnetic flux density. In some embodiments, the data analysis computing entity is configured to generate one or more actions responsive to the debris measurement data exceeding a debris threshold. In some embodiments, the debris threshold is associated with a maximum rate of change associated with debris deposition on the shaft or a maximum amount of debris deposition on the shaft.
In some embodiments, the Hall-effect sensor is configured to detect magnetic flux density. In some embodiments, the Hall-effect sensor is configured to detect an increase to the magnetic flux density in proportion to an amount of ferrous debris deposition on the shaft. In some embodiments, the one or more permanent magnets comprise an array of a plurality of magnet elements and one or more non-magnetic spacers configured therebetween the plurality of magnet elements. In some embodiments, the Hall-effect sensor is configured along a central axis of the one or more permanent magnets. In some embodiments, the top piece and the bottom pole piece comprise flux concentrators that concentrate magnetic flux associated with the one or more permanent magnets through the Hall-effect sensor and through a length of a periphery of shaft 106.
In some embodiments, the debris sensor assembly is encapsulated and/or sealed within the shaft. In some embodiments, the shaft comprises a non-ferrous housing. In some embodiments, the Hall-effect sensor is oriented in the cavity at a given angle with respect to an axis of the one or more permanent magnets. In some embodiments, the second pole piece comprises a funnel shape towards the Hall-effect sensor. In some embodiments, the debris sensor assembly further comprises a gap between the bottom pole piece and the Hall-effect sensor.
The foregoing illustrative summary, as well as other exemplary objectives and/or advantages of the disclosure, and the manner in which the same are accomplished, are further explained in the following detailed description and its accompanying drawings.
The description of the illustrative embodiments may be read in conjunction with the accompanying figures. It will be appreciated that, for simplicity and clarity of illustration, elements illustrated in the figures have not necessarily been drawn to scale, unless described otherwise. For example, the dimensions of some of the elements may be exaggerated relative to other elements, unless described otherwise. Embodiments incorporating teachings of the present disclosure are shown and described with respect to the figures presented herein, in which:
Some embodiments of the present disclosure will now be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all embodiments of the disclosure are shown. Indeed, these disclosures may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Like numbers refer to like elements throughout.
As used herein, terms such as “front,” “rear,” “top,” etc., are used for explanatory purposes in the examples provided below to describe the relative position of certain components or portions of components. Furthermore, as would be evident to one of ordinary skill in the art in light of the present disclosure, the terms “substantially” and “approximately” indicate that the referenced element or associated description is accurate to within applicable engineering tolerances.
As used herein, the term “comprising” means including but not limited to and should be interpreted in the manner it is typically used in the patent context. Use of broader terms such as comprises, includes, and having should be understood to provide support for narrower terms such as consisting of, consisting essentially of, and comprised substantially of.
The phrases “in one embodiment,” “according to one embodiment,” and the like generally mean that the particular feature, structure, or characteristic following the phrase may be included in at least one embodiment of the present disclosure, and may be included in more than one embodiment of the present disclosure (importantly, such phrases do not necessarily refer to the same embodiment).
The word “example” or “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any implementation described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other implementations.
If the specification states a component or feature “may,” “can,” “could,” “should,” “would,” “preferably,” “possibly,” “typically,” “optionally,” “for example,” “often,” or “might” (or other such language) be included or have a characteristic, that a specific component or feature is not required to be included or to have the characteristic. Such a component or feature may be optionally included in some embodiments, or it may be excluded.
As described above, although magnetic debris plugs may accumulate debris indicating system component wear and/or failure, the magnetic debris plugs may only be examined during routine maintenance. Thus, there is a need for real-time monitoring of debris accumulated on a magnetic debris plug.
Various example embodiments of the present disclosure provide various technical advancements and improvements to magnetic debris plugs. In accordance with various examples of the present disclosure, a debris sensor apparatus is disclosed. A debris sensor apparatus may comprise a sensor configured for real-time monitoring of debris levels accumulated on the debris sensor apparatus when the debris sensor apparatus is configured within an operating environment. As such, a debris sensor apparatus according to various embodiments of the present disclosure may be used to detect debris level in real-time, on-demand, or periodically to ensure that appropriate actions may be taken in time to avoid negative consequences and allow maintenance to be planned on or before scheduled downtime.
The disclosed debris sensor apparatus may be used in a plurality of applications and is not limited to any specific application as disclosed herewith. The plurality of applications may include hydraulic system monitoring, drive train system monitoring, wind turbine condition monitoring, condition monitoring in mining industries, or crane gearbox monitoring. In some example embodiments, the debris sensor apparatus comprises a debris sensor plug. A debris sensor plug may be inserted and secured into a recess of an operating environment, such as a device or machinery, to monitor wear or failure of the operating environment in real-time.
According to various embodiments of the present disclosure, a Hall-effect sensor may be configured with a debris sensor apparatus to generate data readings (analog or digital) representative of a quantity of debris deposited on a shaft of the debris sensor apparatus in conjunction with concentrated magnetization of at least a portion of the shaft for ferrous debris collection. The Hall-effect sensor may be configured to detect collection of debris on the debris sensor apparatus. As such, real-time monitoring may be performed using the debris sensor apparatus to determine actions that may be appropriate for current debris levels to avoid negative consequences and allows maintenance to be planned during scheduled downtime. For example, a debris sensor apparatus may be configured with a computing entity to perform condition-based monitoring that protects critical rotating assets by directly measuring ferrous wear within equipment. In the event of unpredictable failure, an immediate response may be determined as appropriate such that any further negative effects may be avoided. Data may be received from the Hall-effect sensor and used to generate trending, prediction patterns, and analysis to obtain a variety of information.
In some embodiments, a debris sensor apparatus comprises a head portion, a male-threaded portion, and a shaft. The shaft may comprise a hollow chamber housing in which a debris sensor assembly may be disposed. In some embodiments, a debris sensor assembly comprises one or more permanent magnets (e.g., rare-earth magnets), a Hall-effect sensor, a plurality of pole pieces (or flux concentrators, a power source, and a printed circuit board assembly (PCBA). In some example embodiments, at least a portion of the one or more permanent magnets comprises a cavity in which the Hall-effect sensor may be configured within. The cavity may comprise a null field space suitable for inserting a Hall-effect sensor therein to reduce magnetic flux induced on the Hall-effect sensor. For example, a debris sensor apparatus may comprise one or more permanent magnets having a desired magnetic field strength (e.g., sufficient to accumulate ferrous debris) but greater than typical saturation limits of Hall-effect sensors (e.g., +/−160-200 mT). As such, a Hall-effect sensor may be configured within a cavity of one or more permanent magnets, as disclosed herewith, such that the Hall-effect sensor may be used with the one or more permanent magnets in applications where the magnetic field strength of the one or more permanent magnets exceeds the saturation limits of the Hall-effect sensor.
In some embodiments, the Hall-effect sensor is mounted on a first side of the PCBA and the first side of the PCBA may be interfaced with a portion of the one or more permanent magnets comprising the cavity such that the Hall-effect sensor is encompassed within the cavity but without physical contact with the one or more permanent magnets. In some embodiments, the one or more permanent magnets interfaced with the PCBA is further configured between a top pole piece and a bottom pole piece. The top pole piece and the bottom pole piece may be configured along the distal and proximal ends of the shaft. In some embodiments, the top pole piece and the bottom pole piece may direct or change magnetic flux direction emanating from the one or more permanent magnets and further prevent saturation of the Hall-effect sensor.
Referring now to
Debris sensor assembly 200 further comprises a Hall-effect sensor 206 coupled to PCBA 208. In some embodiments, Hall-effect sensor 206 is configured to detect magnetic flux density within the periphery of debris sensor assembly 200 and any changes to the magnetic flux density caused by ferrous debris deposition along shaft 106. In some embodiments, axis-symmetry is maintained in the debris sensor assembly 200 to ensure the impact of debris collection is focused on Hall-effect sensor 206. As such, debris sensor assembly 200 may be configured for debris collection and sensing along the periphery of shaft 106 with uniformity and high sensitivity.
At least a portion of the one or more permanent magnets 202 comprises a cavity 214 in which a null field is established on a first or bottom end of the one or more permanent magnets 202. The null field of the cavity 214 may comprise a space where little to no magnetic flux exists. Hall-effect sensor 206 may be placed inside the cavity 214 near the null field to reduce a magnetic field experienced by the Hall-effect sensor thereby avoiding saturation. As such, a Hall-effect sensor 206 coupled to a first side of PCBA 208 is positioned within the cavity 214 such that magnetic flux induced by the one or more permanent magnets 202 is lessened to prevent rendering the Hall-effect sensor 206 inoperable. In some embodiments the cavity 214 is centered such that the Hall-effect sensor 206 may be positioned along a central axis of the one or more permanent magnets 202. Hall-effect sensor 206 may be oriented at any angle (e.g., 0 to 360 degrees) within cavity 214 with respect to the axis of the one or more permanent magnets 202.
A second side of PCBA 208 may comprise a power source (e.g., wired or battery) and one or more electronic components configured to generate digital (e.g., Serial Peripheral Interface (SPI), Single Edge Nibble Transmission (SENT), Inter-Integrated Circuit (I2C), etc.) or analog (voltage, current, pulse-width modulation (PWM), etc.) signal output representation of measurement data based on readings from Hall-effect sensor 206. PCBA 208 may further comprise a microcontroller or computing entity and a communication interface for transmitting the digital or analog signal output to a monitoring computing system via digital (e.g., Controller Area Network (CAN)), analog signals, or via one or more wired or wireless communication protocols.
Debris collection and sensing may be effected by debris sensor assembly 200. In some embodiments, the debris sensor assembly 200 may be encapsulated and sealed within shaft 106 such that only shaft 106 is directly exposed to an operating environment. As such, no direct deposition of debris occurs on the debris sensor assembly 200. For example, when used in an environment comprising a fluid, no direct contact may be made between the fluid and the debris sensor assembly 200. Shaft 106 may comprise a non-ferrous housing that allows magnetic flux from the one or more permanent magnets 202 to pass through shaft 106 unimpeded and/or unaltered.
Debris sensor assembly 200 further comprises top pole piece 210 and bottom pole piece 214 which may be used to shape the magnetic flux from the one or more permanent magnets 202. The one or more permanent magnets 202, non-magnetic spacers 204, Hall-effect sensor 206, and PCBA 208 are configured between the top pole piece 210 and the bottom pole piece 212 within the shaft 106. According to various embodiments of the present disclosure, top pole piece 210 and the bottom pole piece 212 may comprise high permeable steel plates that act as flux concentrators to concentrate magnetic flux (from one or more permanent magnets 202) through Hall-effect sensor as well as through a length of the periphery of shaft 106, as depicted in
The top pole piece 210 is coupled to or configured adjacently to (either in contact with or not in contact with) the one or more permanent magnets 202 at a second or top end that is opposite of the first or bottom end comprising the cavity 214. The bottom pole piece 212 is configured adjacent to a second side (opposite of Hall-effect sensor 206) of PCBA 208. The bottom pole piece 212, being closest to Hall-effect sensor 206 (than that of top pole piece 210) may be profiled (e.g., funnel-shaped towards the Hall-effect sensor 206) in such a way that augments magnetic flux (e.g., due to debris deposition) to be uniformly experienced by and concentrated on the Hall-effect sensor 206. In some embodiments, a gap exists between the bottom pole piece 212 and the second side of PCBA 208. The gap between the bottom pole piece 212 and the Hall-effect sensor 206 may be varied to change magnetic flux patterns as desired.
The capacity of debris sensor assembly 200 to collect and sense debris may be adjusted by adding or adjusting the one or more permanent magnets 202, the non-magnetic spacers 204, and/or adjusting top pole piece 210 and bottom pole piece 212 along the length of shaft 106. For example, areas of debris deposition on shaft 106 may be varied based on the length of debris sensor assembly 200 and its components, such as by varying the length or amount of one or more permanent magnets 202. As another example, uniformity of debris deposition along shaft 106 may be varied by varying thickness of the non-magnetic spacers 204 between magnets as well as changing gap between one or more permanent magnets 202 and top pole piece 210 and/or bottom pole piece 212. In yet another embodiment, areas of debris deposition on shaft 106 and detection of debris in the areas of debris deposition may be modified by varying shapes, configurations, and/or orientation of the one or more permanent magnets 202, the non-magnetic spacers 204, the top pole piece 210, or the bottom pole piece 212.
Various performance parameters of debris sensor assembly 200 associated with magnetic flux density detected by Hall-effect sensor 206 may be optimized by modifying the one or more permanent magnets 202, the non-magnetic spacers 204, the top pole piece 210, or the bottom pole piece 212. For example, a magnetic field experienced by Hall-effect sensor 206 may be configured to ensure that the Hall-effect sensor 206 is not saturated by modifying (i) size of the non-magnetic spacers 204 or gaps between the one or more permanent magnets 202, (ii) a gap between the one or more permanent magnets 202 and the top pole piece 210 and/or the bottom pole piece 212, (iii) a quantity or size of the one or more permanent magnets 202, or (iv) a shape/profile of the top pole piece 210 and/or the bottom pole piece 212.
According to various embodiments of the present disclosure, magnetic flux density experienced at the Hall-effect sensor 206 is scaled by varying the size of the non-magnetic spacers 204, gaps between the one or more permanent magnets 202, or gaps between the one or more permanent magnets 202 and the top pole piece 210 and/or the bottom pole piece 212, which thereby varies an area for debris deposition on shaft 106. Given that an deposition of ferrous debris along shaft 106 may create a low reluctance return path for a magnetic flux and increase the magnetic field at Hall-effect sensor 206 in proportion to an amount of the ferrous debris accumulated on the shaft 106, saturation of Hall-effect sensor 206 may be prevented by increasing the size of the non-magnetic spacers 204, gaps between the one or more permanent magnets 202, or gaps between the one or more permanent magnets 202 and the top pole piece 210 and/or the bottom pole piece 212, allowing for a greater range of debris deposition detection without exceeding a saturation limit of the Hall-effect sensor 206. Thus, by varying the size of the non-magnetic spacers 204, gaps between the one or more permanent magnets 202, or gaps between the one or more permanent magnets 202 and the top pole piece 210 and/or the bottom pole piece 212, an area for debris deposition on shaft 106 of a desired size may be configured. However, increasing the size of the non-magnetic spacers 204, gaps between the one or more permanent magnets 202, or gaps between the one or more permanent magnets 202 and the top pole piece 210 and/or the bottom pole piece 212 may come at a cost of lower detection resolution (e.g., large rate of change in magnetic flux density) and less detection linearity (e.g., consistency of measured magnetic flux density over various amounts of debris deposition). Similarly, in some other embodiments, smaller/fewer permanent magnets 202 causes a decrease in magnetic flux density experienced at the Hall-effect sensor 206 thereby preventing saturation and allowing for a greater range of debris deposition detection, however, at the cost of lower detection resolution and less detection linearity. Accordingly, based on a given application, a debris sensor assembly 200 may be designed based on a desired tradeoff between debris deposition amounts measurable and detection quality (e.g., detection resolution and/or detection linearity).
In some example embodiments, debris sensor plug 100 is used in an operating environment comprising ferrous debris (e.g., cause by wear or damage to one or more serviceable components) suspended or migrating in a fluid. The ferrous debris may be attracted to a magnetic field generated by the debris sensor assembly 200 causing the ferrous debris to accumulate along shaft 106. A deposition of the ferrous debris along shaft 106 may complete a magnetic circuit by creating a low reluctance return path for a magnetic flux and thereby increase the magnetic field at Hall-effect sensor 206 in proportion to an amount of ferrous debris accumulated on shaft 106. Changes in the amount of ferrous debris deposition on shaft 106 may cause corresponding changes in a magnetic flux density detected and captured by Hall-effect sensor 206. In some embodiments, raw data readings (e.g., in the form of analog or digital data readings) from Hall-effect sensor 206 may be converted into measurement readings comprising approximate values of magnetic flux density in a unit of measurement, such as gauss or tesla, or approximate values of debris deposition mass or weight, such as grams or ounces.
Embodiments of the present disclosure may be implemented in various ways, including as computer program products that comprise articles of manufacture. Such computer program products may include one or more software components including, for example, software objects, methods, data structures, or the like. A software component may be coded in any of a variety of programming languages. An illustrative programming language may be a lower-level programming language such as an assembly language associated with a particular hardware architecture and/or operating system platform. A software component comprising assembly language instructions may require conversion into executable machine code by an assembler prior to execution by the hardware architecture and/or platform. Another example programming language may be a higher-level programming language that may be portable across multiple architectures. A software component comprising higher-level programming language instructions may require conversion to an intermediate representation by an interpreter or a compiler prior to execution.
Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a script language, a database query or search language, and/or a report writing language. In one or more example embodiments, a software component comprising instructions in one of the foregoing examples of programming languages may be executed directly by an operating system or other software component without having to be first transformed into another form. A software component may be stored as a file or other data storage construct. Software components of a similar type or functionally related may be stored together such as, for example, in a particular directory, folder, or library. Software components may be static (e.g., pre-established, or fixed) or dynamic (e.g., created or modified at the time of execution).
A computer program product may include a non-transitory computer-readable storage medium storing applications, programs, program modules, scripts, source code, program code, object code, byte code, compiled code, interpreted code, machine code, executable instructions, and/or the like (also referred to herein as executable instructions, instructions for execution, computer program products, program code, and/or similar terms used herein interchangeably). Such non-transitory computer-readable storage media include all computer-readable media (including volatile and non-volatile media).
A non-volatile computer-readable storage medium may include a floppy disk, flexible disk, hard disk, solid-state storage (SSS) (e.g., a solid-state drive (SSD), solid-state card (SSC), solid-state module (SSM)), enterprise flash drive, magnetic tape, or any other non-transitory magnetic medium, and/or the like. A non-volatile computer-readable storage medium may also include a punch card, paper tape, optical mark sheet (or any other physical medium with patterns of holes or other optically recognizable indicia), compact disc read only memory (CD-ROM), compact disc-rewritable (CD-RW), digital versatile disc (DVD), Blu-ray disc (BD), any other non-transitory optical medium, and/or the like. Such a non-volatile computer-readable storage medium may also include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory (e.g., Serial, NAND, NOR, and/or the like), multimedia memory cards (MMC), secure digital (SD) memory cards, SmartMedia cards, CompactFlash (CF) cards, Memory Sticks, and/or the like. Further, a non-volatile computer-readable storage medium may also include conductive-bridging random access memory (CBRAM), phase-change random access memory (PRAM), ferroelectric random-access memory (FeRAM), non-volatile random-access memory (NVRAM), magnetoresistive random-access memory (MRAM), resistive random-access memory (RRAM), Silicon-Oxide-Nitride-Oxide-Silicon memory (SONOS), floating junction gate random access memory (FJG RAM), Millipede memory, racetrack memory, and/or the like.
A volatile computer-readable storage medium may include random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), fast page mode dynamic random access memory (FPM DRAM), extended data-out dynamic random access memory (EDO DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), double data rate type two synchronous dynamic random access memory (DDR2 SDRAM), double data rate type three synchronous dynamic random access memory (DDR3 SDRAM), Rambus dynamic random access memory (RDRAM), Twin Transistor RAM (TTRAM), Thyristor RAM (T-RAM), Zero-capacitor (Z-RAM), Rambus in-line memory module (RIMM), dual in-line memory module (DIMM), single in-line memory module (SIMM), video random access memory (VRAM), cache memory (including various levels), flash memory, register memory, and/or the like. It will be appreciated that where embodiments are described to use a computer-readable storage medium, other types of computer-readable storage media may be substituted for or used in addition to the computer-readable storage media described above.
As should be appreciated, various embodiments of the present disclosure may also be implemented as methods, apparatus, systems, computing devices, computing entities, and/or the like. As such, embodiments of the present disclosure may take the form of an apparatus, system, computing device, computing entity, and/or the like executing instructions stored on a computer-readable storage medium to perform certain steps or operations. Thus, embodiments of the present disclosure may also take the form of an entirely hardware embodiment, an entirely computer program product embodiment, and/or an embodiment that comprises a combination of computer program products and hardware performing certain steps or operations.
Embodiments of the present disclosure are described below with reference to block diagrams and flowchart illustrations. Thus, it should be understood that each block of the block diagrams and flowchart illustrations may be implemented in the form of a computer program product, an entirely hardware embodiment, a combination of hardware and computer program products, and/or apparatus, systems, computing devices, computing entities, and/or the like carrying out instructions, operations, steps, and similar words used interchangeably (e.g., the executable instructions, instructions for execution, program code, and/or the like) on a computer-readable storage medium for execution. For example, retrieval, loading, and execution of code may be performed sequentially such that one instruction is retrieved, loaded, and executed at a time. In some example embodiments, retrieval, loading, and/or execution may be performed in parallel such that multiple instructions are retrieved, loaded, and/or executed together. Thus, such embodiments may produce specifically configured machines performing the steps or operations specified in the block diagrams and flowchart illustrations. Accordingly, the block diagrams and flowchart illustrations support various combinations of embodiments for performing the specified instructions, operations, or steps.
An example of an action that may be performed using the data analysis system 502 comprises receiving measurement data values from debris sensor plug 100 and determining an amount of debris deposition associated with the debris sensor plug 100, performing a diagnostic or analysis based on the determined amount of debris deposition, and displaying results of the diagnostic or analysis on a user interface. Other examples of actions that may be performed comprise generating a diagnostic report, displaying/providing resources, generating, and/or executing action scripts, generating alerts or reminders (e.g., maintenance or replacement of serviceable components associated with debris sensor plug 100 or debris sensor plug 100 itself) or generating one or more electronic communications based on the diagnostic or analysis.
In some embodiments, data analysis system 502 may communicate with a debris sensor plug 100 using one or more communication networks. Examples of communication networks include any wired or wireless communication network including, for example, a wired or wireless local area network (LAN), personal area network (PAN), metropolitan area network (MAN), wide area network (WAN), or the like, as well as any hardware, software, and/or firmware required to implement it (such as, e.g., network routers, and/or the like).
The data analysis system 502 may include a data analysis computing entity 506 and a storage subsystem 508. The data analysis computing entity 506 may be configured to receive measurement data from debris sensor plug 100, monitor and/or process the measurement data, generate predictions of wear or failure based on the measurement data, and automatically initiate performance of one or more actions based on the predictions. The storage subsystem 508 may be configured to store input data used by the data analysis computing entity 506 to perform various data analysis tasks. The storage subsystem 508 may include one or more storage units, such as multiple distributed storage units that are connected through a computer network. Each storage unit in the storage subsystem 508 may store at least one of one or more data assets and/or one or more data about the computed properties of one or more data assets. Moreover, each storage unit in the storage subsystem 508 may include one or more non-volatile storage or memory media including, but not limited to, hard disks, ROM, PROM, EPROM, EEPROM, flash memory, MMCs, SD memory cards, Memory Sticks, CBRAM, PRAM, FeRAM, NVRAM, MRAM, RRAM, SONOS, FJG RAM, Millipede memory, racetrack memory, and/or the like.
For example, the processing element 605 may be embodied as one or more complex programmable logic devices (CPLDs), microprocessors, multi-core processors, coprocessing entities, application-specific instruction-set processors (ASIPs), microcontrollers, and/or controllers. Further, the processing element 605 may be embodied as one or more other processing devices or circuitry. The term circuitry may refer to an entirely hardware embodiment or a combination of hardware and computer program products. Thus, the processing element 605 may be embodied as integrated circuits, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), hardware accelerators, other circuitry, and/or the like.
As will therefore be understood, the processing element 605 may be configured for a particular use or configured to execute instructions stored in volatile or non-volatile media or otherwise accessible to the processing element 605. As such, whether configured by hardware or computer program products, or by a combination thereof, the processing element 605 may be capable of performing steps or operations according to embodiments of the present disclosure when configured accordingly.
In some embodiments, the data analysis computing entity 506 may further include, or be in communication with, non-volatile media (also referred to as non-volatile storage, memory, memory storage, memory circuitry, and/or similar terms used herein interchangeably). In some embodiments, the non-volatile storage or memory may include one or more non-volatile memory 610, including, but not limited to, hard disks, ROM, PROM, EPROM, EEPROM, flash memory, MMCs, SD memory cards, Memory Sticks, CBRAM, PRAM, FeRAM, NVRAM, MRAM, RRAM, SONOS, FJG RAM, Millipede memory, racetrack memory, and/or the like.
As will be recognized, the non-volatile storage or memory media may store databases, database instances, database management systems, data, applications, programs, program modules, scripts, source code, object code, byte code, compiled code, interpreted code, machine code, executable instructions, and/or the like. The term database, database instance, database management system, and/or similar terms used herein interchangeably may refer to a collection of records or data that is stored in a computer-readable storage medium using one or more database models, such as a hierarchical database model, network model, relational model, entity-relationship model, object model, document model, semantic model, graph model, and/or the like.
In some embodiments, the data analysis computing entity 506 may further include, or be in communication with, volatile media (also referred to as volatile storage, memory, memory storage, memory circuitry, and/or similar terms used herein interchangeably). In some embodiments, the volatile storage or memory may also include one or more volatile memory 615, including, but not limited to, RAM, DRAM, SRAM, FPM DRAM, EDO DRAM, SDRAM, DDR SDRAM, DDR2 SDRAM, DDR3 SDRAM, RDRAM, TTRAM, T-RAM, Z-RAM, RIMM, DIMM, SIMM, VRAM, cache memory, register memory, and/or the like.
As will be recognized, the volatile storage or memory media may be used to store at least portions of the databases, database instances, database management systems, data, applications, programs, program modules, scripts, source code, object code, byte code, compiled code, interpreted code, machine code, executable instructions, and/or the like being executed by, for example, the processing element 605. Thus, the databases, database instances, database management systems, data, applications, programs, program modules, scripts, source code, object code, byte code, compiled code, interpreted code, machine code, executable instructions, and/or the like may be used to control certain aspects of the operation of the data analysis computing entity 506 with the assistance of the processing element 605 and operating system.
As indicated, in some embodiments, the data analysis computing entity 506 may also include one or more network interfaces 620 for communicating with debris sensor plug 100 and various computing entities, such as by communicating data, content, information, and/or similar terms used herein interchangeably that may be transmitted, received, operated on, processed, displayed, stored, and/or the like. Such communication may be executed using a wired data transmission protocol, such as fiber distributed data interface (FDDI), digital subscriber line (DSL), Ethernet, asynchronous transfer mode (ATM), frame relay, data over cable service interface specification (DOCSIS), or any other wired transmission protocol. Similarly, the data analysis computing entity 506 may be configured to communicate via wireless external communication networks using any of a variety of protocols, such as general packet radio service (GPRS), Universal Mobile Telecommunications System (UMTS), Code Division Multiple Access 2000 (CDMA2000), CDMA2000 1× (1×RTT), Wideband Code Division Multiple Access (WCDMA), Global System for Mobile Communications (GSM), Enhanced Data rates for GSM Evolution (EDGE), Time Division-Synchronous Code Division Multiple Access (TD-SCDMA), Long Term Evolution (LTE), Evolved Universal Terrestrial Radio Access Network (E-UTRAN), Evolution-Data Optimized (EVDO), High Speed Packet Access (HSPA), High-Speed Downlink Packet Access (HSDPA), IEEE 802.11 (Wi-Fi), Wi-Fi Direct, 802.16 (WiMAX), ultra-wideband (UWB), infrared (IR) protocols, near field communication (NFC) protocols, Wibree, Bluetooth protocols, wireless universal serial bus (USB) protocols, and/or any other wireless protocol.
Although not shown, the data analysis computing entity 506 may include, or be in communication with, one or more input elements, such as a keyboard input, a mouse input, a touch screen/display input, motion input, movement input, audio input, pointing device input, joystick input, keypad input, and/or the like. The data analysis computing entity 506 may also include, or be in communication with, one or more output elements (not shown), such as audio output, video output, screen/display output, motion output, movement output, and/or the like.
As disclosed herewith, debris sensor plug 100 may be used in conjunction with data analysis system 502 to monitor an operating environment, such as machinery or equipment, and determine when to employ preventative maintenance to avoid costly damage to system/components and/or dealing with an unscheduled failure leading to safety concerns, downtime/lost time cost, lost production, and unnecessary overtime, as well as to avoid prematurely performing maintenance on or replacing equipment when not needed.
Referring now to
It is noted that each block of a flowchart, and combinations of blocks in the flowchart, may be implemented by various means such as hardware, firmware, circuitry, and/or other devices associated with execution of software including one or more computer program instructions. For example, one or more of the steps/operations described in
In some embodiments, at step/operation 702, the data analysis computing entity 506 receives debris measurement data from debris sensor plug 100. The debris measurement data may comprise raw data in the form of analog or digital signals generated by Hall-effect sensor 206 based on magnetic flux induced on the Hall-effect sensor 206 as a result of debris deposition (or lack thereof).
In some embodiments, subsequent to step/operation 702, the example method proceeds to step/operation 704, where the data analysis computing entity 506 processes, monitors, and/or analyzes the debris measurement data and determines whether the debris measurement data exceeds a debris threshold. The measurement data may be associated with magnetic flux density values detected by Hall-effect sensor 206. The magnetic flux density values may be representative of an amount of ferrous debris deposition on debris sensor plug 100. In some embodiments, determining whether the debris measurement data exceeds a debris threshold further comprises using the measurement data to determine an approximate mass/weight of debris deposition on debris sensor plug 100 based on a linearization algorithm or lookup table. The approximate mass/weight of debris deposition may be compared with a debris threshold comprising a maximum total deposition.
In some embodiments, a rate of change associated with debris deposition is determined based on the measurement data and previous measurement data. The rate of change may be compared with a debris threshold comprising a maximum rate of change associated with debris deposition. In some other embodiments, determining whether the debris measurement data exceeds a debris threshold further comprises determining particle size of debris deposition based on the measurement data and comparing the determined particle size with a debris threshold comprising a particle size threshold. As an example, a particle size threshold may be associated with debris from a specific component, and thus, allowing data analysis computing entity 506 to determine wear or failure of a specific component.
If the debris measurement data is not greater than the debris threshold, the data analysis computing entity 506 continues to receive and monitor the debris measurement data. In some embodiments, subsequent to step/operation 704, if the debris measurement data is greater than the debris threshold, the example method proceeds to step/operation 706, where the data analysis computing entity 506 determines one or more actions responsive to the debris measurement data exceeding the debris threshold. In some embodiments, determining the one or more actions comprises generating a prediction of wear or failure based on the debris threshold exceeded. The prediction of wear or failure may be used to determine appropriate one or more actions to respond to the debris measurement data exceeding the debris threshold. For example, distinguishing regular wear from system breakdown may determine actions, such as routine maintenance, replacement, or repairs, which may be performed to avoid failures and/or unnecessary downtime.
It is to be understood that the disclosure is not to be limited to the specific embodiments disclosed, and that modifications and other embodiments are intended to be included within the scope of the appended claims. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation, unless described otherwise.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202311081383 | Nov 2023 | IN | national |
