提出了一種基于神經(jīng)網(wǎng)絡(luò)故障診斷新方法。研究了基于波形直接分析和BP神經(jīng)網(wǎng)絡(luò)
的電力電子整流裝置故障診斷方法。以三相橋式可控整流電路晶閘管斷路故障為例，通過對(duì)一個(gè)電力電子電路進(jìn)行仿真實(shí)驗(yàn)研究結(jié)果表明：該方法簡(jiǎn)單、直觀，可以提高神經(jīng)網(wǎng)絡(luò)模型的學(xué)習(xí)效率和診斷的準(zhǔn)確性，具有很好的故障識(shí)別能力，具有廣闊的應(yīng)用前景。
關(guān)鍵詞：神經(jīng)網(wǎng)絡(luò)，電力電子，故障診斷
Abstract: A new method of fault diagnose distinguishing based on neural network is raised. Fault diagnose method of power electronic has been studied based on the wavy curve and neural network. Take the three-phase bridge-type controllable thyristor circuit disconnection fault as the example, The results of power electronic circuit experiment show that this method is simple, is direct-viewing, may enhance the neural network model the study efficiency and the diagnosis accuracy. The way has very good fault distinguishing ability and vast prospect.
Keywords: Neural Network, Power Electronic, Fault Diagnose