OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 23, Issue 4, 57(2025)
GIL Partial Discharge Monitoring Based on WFBG Long- and Short-Term Memory Network Transformation
Aiming at the problem that traditional electronic sensors have large electromagnetic interference in partial discharge monitoring of gas-insulated metal-closed transmission lines(GIL), the interferometry of partial discharge signals based on distributed weak fiber Bragg grating(WFBG)is realized in this paper. And a low noise optical fiber interference phase monitoring method based on long short-term memory network(LSTM)transformation for the measured optical phase signals is proposed. Based on LSTM processing, the interference phase wideband noise of WFBG is suppressed, and the correlation of signals at different historical moments is processed, and the change of signal characteristics is compared and analyzed. The results show that the long short term memory network transformation method based on weak reflection grating can be effectively applied to GIL partial discharge monitoring. Compared with traditional algorithms, LSTM algorithm can effectively improve the signal to noise ratio of 7.0 dB, and still has certain advantages in correlation processing compared with traditional GA-BP algorithm, which has certain engineering significance in the field of GIL monitoring.
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HU Qing-xiong, LUO Jin-wen, LIU Shao-yong, WANG Jin-quan, ZHANG Kun. GIL Partial Discharge Monitoring Based on WFBG Long- and Short-Term Memory Network Transformation[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2025, 23(4): 57