This invention generally relates to the field of structural health monitoring (“SHM”).
A coupler is a structure for connecting cars of a train. Structural failure of couplers may cause accidents and sometimes lead to catastrophic damages, especially for heavy-load and high-speed trains. Therefore, it is critical to ensure that the couplers are in healthy structural condition. Cracks and metal fatigue are the most common structural failures for couplers. Currently, the inspections of coupler are performed offline during scheduled maintenance. The maintenance method is mainly through visual inspection. Since a significant part of the coupler is hidden beneath the car body, it often requires the disassembly of the coupler cover to perform the inspection. The inspection is very time consuming and labor intensive. In certain cases, since the damage happens internally, visual inspection will miss the hidden defect. Therefore, it is desirable to have a damage inspection system for train couplers that saves labor, improves efficiency, and increases accuracy.
The present invention discloses a structural health monitoring system for train couplers. The system detects both external and internal structural damages, including those in the part that is hidden beneath the car body, even when the train is in service.
In one embodiment, the train coupler structural health monitoring system includes one or more sensors mounted to or integrated with the train coupler, a data acquisition unit for receiving signal or data from the sensors, and a processing unit for determining the train coupler's structural health based on the received signal or data. Inspections via the system can be performed in real time continuously or periodically while a train is in service. It can also be performed offline while a train is not in service.
In one embodiment, inspections via the train coupler structural health monitoring system can be either passive, where sensors collect signals without generating excitation signals to the structure, or active, where some sensors are used as actuators to actively send excitation signals to the structure and other sensors or the actuators themselves collect the structural response signals, or the combination of passive and active sensors.
In another embodiment of the invention, a group of sensors are packaged inside one case to monitor an area of a train coupler. At least one of the sensors may function is an actuator and other sensors function as receivers. The shape of the case can be circular, rectangular, or any other shape.
The subject matter, which is regarded as the invention, is particularly pointed out and distinctly claimed in the claims at the conclusion of the specification. The foregoing and other features and also the advantages of the invention will be apparent from the following detailed description taken in conjunction with the accompanying drawings. Additionally, the leftmost digit of a reference number identifies the drawing in which the reference number first appears.
This present invention discloses a structural health monitoring system 100 for train couplers. In one embodiment, as shown in
The sensors 101 can be either mounted to the coupler or directly built in as part of the coupler. The mounting methods include epoxy, glues, screws, clamps, or other methods. The sensors 101 may have different sensing capabilities. For example, the sensors 101 can be piezoelectric sensors, EMAT (Electro Magnetic Acoustic Transducers), accelerators, gyroscopes, temperature sensors or fiber optic sensors. There may also be a combination of sensors with different sensing capabilities. Some sensors can also be used as actuators in the active mode.
The sensors 101, data acquisition unit 102, and/or processing unit 103 can be integrated together or separate devices. For example, the data acquisition unit 102 may be integrated with some sensors 101 as a single device. As another example, the data acquisition unit 102 may be integrated with the processing unit 103 as a single device. But when the amount of data to be processed is huge or certain complex data processing algorithm (e.g., artificial intelligence, machine learning) is needed, a remote (e.g., cloud-based) and more powerful processing unit 103 may be used instead.
The data acquisition unit 102 can connect to the sensors 101 either by wires or wirelessly. When the connection is wired, the wires can be but are not limited to shielded, unshielded, coaxial or twisted-pair, USB cable, Ethernet cable, or other connections. When the connection is wireless, the wireless mode can be but are not limited to ZigBee, Wi-Fi, or mobile data network. Signals or data transferred between sensors 101 and data acquisition unit 102 can be analog or digital.
The processing unit 103 can connect to the data acquisition unit 102 either by wires or wirelessly. When the connection is wired, the wires can be but are not limited to USB cable, Ethernet cable, CAN, RS485, or other connections. When the connection is wireless, the wireless mode can be but are not limited to ZigBee, Wi-Fi, Lora, Z wave, Bluetooth, or mobile data network.
As shown in
In one embodiment, the communication module 208 connects with a remote-control center so that the data acquisition unit 102 could be remoted configured from the control center. In addition, the communication module 208 may also supports communications between the data acquisition unit 102 with digital sensors. Such communications could be achieved via USB, Ethernet, ZigBee, CAN, Wi-Fi, mobile data network, or other digital connection method.
In another embodiment, the data acquisition unit 102 and the processing unit 103 are integrated as a single device. In this case, the data processing module 204 could be replaced by the processing power of the processing unit 103.
Note that multiplexer 201 and multiplexer 209 may be combined into one multiplexer module which is controlled by the data processing module 204 in terms of which sensor or actuator is chosen for receiving signals from or sending excitation signals to.
The sensors 101, the data acquisition unit 102, and/or the processing unit 103 may each have a built-in battery. To make the device self-sufficient, an energy harvesting circuit can also be added to harvest the energy when the train is in operation. The energy can be harvested by using piezoelectric sensors that convert mechanical energy from the train vibration/movement into electrical energy.
In one embodiment of the invention, accelerators, gyroscopes, position sensors, displacement sensors, and/or magnetometer are used to measure the movement of some parts of the coupler while the train is in service. When there is a damage, the movement of the parts will behave differently and therefore produces some different features. For example, in the frequency domain, the frequency response of a damaged part may be different from that of a normal one. By examining the signal change in the time domain and frequency domain, one can identify the potential damage. Specifically, when a draft gear or buffer gear is malfunctioning, the moving distance of the train coupler is different from the normal situation.
In another embodiment of the invention, temperature sensors are used to monitor the temperature change at some critical parts. For example, when the jaw of a train coupler is close to the broken stage due to metal fatigue, the temperature of the jaw area can rise higher. The temperature sensors are not necessarily mounted directly to the targeted area. An infrared temperature sensor can be used to monitor the temperature change.
In one embodiment of the invention, strain sensors or load sensors are used to monitor the load of a train coupler. When the load exceeds a certain level, the train coupler could be pushed to breaking point. The strain and load can also be used with other data such as acceleration and position to calculate the status of the draft gear.
In another embodiment of the invention, ultrasonic sensors (e.g., piezoelectric sensors, EMAT) are used to inspect the structural health.
In another embodiment of the invention, a plurality of sensors can be used for forming a mesh network to cover a target area. When the target coupler is in normal structural health, the waveforms are used as a baseline. When there is a crack or other type of damage, the waveforms will be different from the baseline. By analyzing the change of the waveforms, the location and size of the crack can be identified.
In another embodiment of the invention, a temperature sensor is attached to a train coupler to gather environment information for the calibration purpose. Since the structure response is affected by temperature, so that temperature measurement is used to get the structure response at different temperature level for more accurate damage detection. The temperature type can be but are not limited to Resistance Temperature Detector (RTD), thermocouple or semiconductor-based sensors.
The data acquisition unit 102 and/or the processing unit 103 may include a memory module, which saves the acquired data and processed result. The data acquisition unit 102 and/or the processing unit 103 may include a communication module for network connection. The connection can be but are not limited to USB, Ethernet, ZigBee, CAN, Wi-Fi, mobile data network, or other connection method.
The system 100 may also include a remote management console for sending instructions to the data acquisition units and/or the processing units to coordinate these units and receiving data and/or structural health results from these units over a network.
Although specific embodiments of the invention have been disclosed, those having ordinary skill in the art will understand that changes can be made to the specific embodiments without departing from the spirit and scope of the invention. The scope of the invention is not to be restricted, therefore, to the specific embodiments. Furthermore, it is intended that the appended claims cover any and all such applications, modifications, and embodiments within the scope of the present invention.
This application claims priority to U.S. provisional patent application Ser. No. 62/432,692, filed Dec. 11, 2016, the entire content of which is incorporated herein by reference.
Number | Date | Country | |
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62432692 | Dec 2016 | US |