This invention relates to sensing devices, and more particularly, to an improved online continuous monitoring and sensing device with particular application to the monitoring of large utility station transformers.
Large utility station transformers are an integral part of modern day electricity transmission and distribution systems. These critical pieces of equipment represent a tremendous investment of time and cost on the part of the utility companies. Additionally, failure of such transformers can result in many millions of dollars worth of economic damage, even if such failures are only for a short duration.
As a result of the large investment and high cost of any down time, transformers are periodically monitored for potential partial discharge activity within. Typically, such “spot” monitoring, as it is known, is accomplished by temporarily equipping the external casing of the transformer with a plurality of sensors that sense acoustic noise caused by a partial discharge or other event inside the transformer. This spot monitoring is conducted intermittently, on request, and usually over a period of several days or even weeks.
Several drawbacks with such prior techniques exist. First, because the external sensors are mounted on the outside of the transmission case and locate partial discharge events via triangulation, accuracy is diminished. Second, the monitoring only occurs at the relatively infrequent periods that the sensors are utilized. Third, the process of spot monitoring is typically sold to the utility companies by third party entities, and thus tends to be relatively expensive.
It is an object of the invention to provide a reliable and relatively inexpensive method to continuously monitor partial discharge events in transformers and the like.
It is an object of the invention to provide instantaneous and continuous monitoring and feedback of partial discharge event information within transformers and the like.
It is an object of the invention to be able to compensate for environmental variations within the transformer that could affect the detection of partial discharge events.
The foregoing and other objects of the present invention will be clear upon review of the following description and drawings.
The above and other problems of the prior art are overcome in accordance with the present invention which relates to an online, preferably fiber optic based, Micro Electro Mechanical System (MEMS) acoustic pressure sensor device that is capable of detecting partial discharge events directly within the utility transformer and providing constant feedback. In accordance with the invention, acoustical energy is detected and analyzed via a sensor, preferably an optical sensor. The signature of the acoustical energy is then compared with the signature of acoustical energy expected in response to a partial discharge event, wherein such expected signature may be preferably altered based upon parameters such as temperature within the transformer. When a match between the expected signature and the sensed signature is detected, a partial discharge event is identified and reported.
An opening 25 is provided beneath the sensor 10 within the substrate for permitting insertion of an optical fiber 30 as shown. Optionally, the fiber itself may be protected within an additional outer tube or casing shown as 35 in
In operation, partial discharge event acoustical signals vibrate a sensor 10. Variations in the optical signal are transmitted to fiber optical amplifier 87 for further analysis.
Prior to the processes depicted in
In accordance with the invention, the acoustic sensor 60 transmits to information through an amplifier 87 as indicated. Signal match filter 120 filters the signal and passes it to a fast fourier transform (FFT) algorithm 125, the output of which represents the frequency spectrum of the signal. The Hilbert Huang transform may be used as a preconditioner to the FFT analysis. The frequency spectrum is considered one form of signature of the particular signal detected. Temperature sensor 150, data collection clock 155 and selection block 160 serve to compensate for the changes reflected in the signature under different temperature conditions. More specifically, the signature emitted by a particular partial discharge event will vary based upon temperature. Such variations calculated empirically are shown below:
Block 160 selects the appropriate signature to which the sensed signature should be compared, based upon the present temperature. A simple methodology for accomplishing this function is to store a library of signatures in selection block 160, each corresponding to a different temperature, and then output to the PD selection block 130
The selected signature is then compared to the sensed signature from acoustic sensor 60 at PD detection block 130, and a match results in the identification of a partial discharge event as indicated at 135.
The invention may utilize a single temperature probe or multiple temperature probes in combination with a single or multiple MEMS probes.
It is also noted that an independent electromagnetic probe may also be inserted into the system. Partial discharge events have emanating from them both an acoustic signature and an electromagnetic signature. The comparison of the two detectors may be utilized to confirm the event, since acoustic emissions due to thermal heating, bubbles bursting, or other dynamic activities within the transformer oil would not have an accompanying electromagnetic signature. The electromagnetic sensor may be built into the same probe that includes the MEMS sensor, or may be separately implemented.
While the foregoing describes the preferred embodiments of the present invention, various modifications will be apparent to those of skill in the art. Such modifications are intended to be covered by the following claims.
Number | Name | Date | Kind |
---|---|---|---|
4654806 | Poyser et al. | Mar 1987 | A |
H0536 | Strickland et al. | Oct 1988 | H |
5214595 | Ozawa et al. | May 1993 | A |
5530366 | Nasrallah | Jun 1996 | A |
6496265 | Duncan et al. | Dec 2002 | B1 |
6528985 | Greuel et al. | Mar 2003 | B1 |
6774639 | Unsworth | Aug 2004 | B1 |
Number | Date | Country |
---|---|---|
241764 | Oct 1987 | EP |
WO 9428566 | Dec 1994 | WO |
Number | Date | Country | |
---|---|---|---|
20050194979 A1 | Sep 2005 | US |