Neural network method for detecting AE position of partial discharge
A neural network and neural network algorithm technology, applied in the field of partial discharge detection, can solve the problems of easy failure, many A/D components and circuits, and high cost, and achieve the effect of improving accuracy
Inactive Publication Date: 2013-10-02
HANGZHOU DIANZI UNIV
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However, this method of collecting different frequency bands is almost unfeasible. First, the existing filter circuit does not meet the requirements for ultrasonic frequency division; In addition, the sampling data obtained in this way are also values in different frequency bands, which do not have a unified reference standard and cannot be used by the partial discharge monitoring system
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[0031] Below in conjunction with accompanying drawing and embodiment the present invention is further described:
[0032] A kind of neural network method of partial discharge AE position detection of the present invention, this method specifically comprises the following steps:
[0033] Step 1: Use multiple AE detectors installed inside the transformer or switchgear to detect partial discharge ultrasonic signals, and collect these ultrasonic signals;
[0034] Step 2: Send the collected ultrasonic signal together with the detector number to the signal collection center for encoding;
[0035] Step 3: Send the encoded signal to the signal conditioning circuit, and the signal conditioning circuit filters the detection signal to eliminate interference and noise signals;
[0036] Step 4: Send the filtered ultrasonic signal and the detector number to the processor, and the processor uses the neural network algorithm to calculate the position of the partial discharge from these signa...
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The invention discloses a neural network method for detecting an AE position of partial discharge, which comprises the following steps: using a plurality of AE detectors arranged inside a transformer or a switch cabinet to detect ultrasonic wave signals of partial discharge, and collecting the ultrasonic wave signals; sending the collected ultrasonic wave signals and detector numbers to a signal collection center to be encoded; sending the encoded signals to a signal regulating circuit which performs filtering, and interference and noise signal eliminating to the to-be-detected signals; sending the filtered ultrasonic wave signals and the detector numbers to a processor using a neural network algorithm to compute the position of partial discharge in virtue of the signals. According to the invention, the discharging information in the ultrasonic wave generated by partial discharge can be extracted, and is used for computing the partial discharge position to be utilized by a partial discharge monitoring system, so as to improve the precision of partial discharge monitoring.
Description
technical field [0001] The invention relates to the detection of partial discharges in power systems, in particular to the neural network method for the detection of AE positions of partial discharges. Background technique [0002] Partial discharge is an important factor that leads to insulation damage of high-voltage power equipment. Monitoring of equipment in operation should be strengthened. When partial discharge exceeds a certain level, the equipment should be taken out of operation and repaired or replaced. The detection of partial discharge is the most important part of partial discharge monitoring. Only when the detection is accurate can the follow-up monitoring be guaranteed. [0003] When partial discharge occurs, it will be accompanied by electric pulses, ultrasonic waves, electromagnetic radiation, light, chemical reactions, and local heating. The invention locates the partial discharge by detecting ultrasonic waves. This method is simple and practical, and has...
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Inventor 许明何塽纳
Owner HANGZHOU DIANZI UNIV