In the actual operation of power system,optic fiber communication faces the risk of failure.Based on this,a optic fiber fault detection method in power system based on artificial intelligence is proposed.Firstly,the optic fiber network structure and the common methods of fault monitoring are introduced;secondly,the specific application of neural network is described;finally,a comparison test is established to verify the reliability of the model.The test results show that:by comparing with the actual fault causes,the misjudgment rate of fault analysis using neural network is lower than 3％,15％,14％,and 5％in four fault modes;the overall identification correct rate of the optimization model is 86.34％,which is higher than that of the traditional model.The reasonableness of the model is verified.This research proposed method for optic fiber fault detection in power system has certain reference significance.
关键词
电力系统/光纤通信/人工智能/故障检测/光时域反射/神经网络/反向传播
Key words
Power system/Optic fiber communication/Artificial intelligence/Fault detection/Optical time domain reflection/Neural network/Back propagation(BP)
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