High-voltage AC line intelligent fault diagnosis method and system based on VGG16 algorithm
A high-voltage communication and fault diagnosis technology, applied in fault locations, neural learning methods, biological neural network models, etc., can solve the problems of lack of samples, long time-consuming diagnosis, relying on manual diagnosis, etc., to achieve accurate and reliable results, easy to implement, rich effect of experience
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[0074] like figure 1 As shown, the idea of this method is to analyze the current waveform when the AC line is faulty, and use the VGG16 algorithm to simulate the method of analyzing the waveform of the human eye for diagnosis, which is in line with the process and idea of artificial fault diagnosis. A large number of AC faults are analyzed and learned, and the diagnosis results are obtained by analyzing the changing trend of the waveform. The trend analysis steps of the waveform include:
[0075] S1. Input the current waveforms at the beginning and end of the line into the trained VGG16 network;
[0076] S2. Use the VGG16 algorithm to analyze the double-terminal current waveform, and obtain the diagnosis result according to the change trend in the double-terminal current waveform:
[0077] S3. Get the fault in the area;
[0078] S4. Get the fault outside the area;
[0079] S5. Acquire the fault or normal operation of the transmission line when the capacitor current is to...
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