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Fault Diagnosis of the Rectifying Circuit of Electric Locomotives

机译:电力机车整流电路的故障诊断

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The paper conducts the fault diagnosis of three section unequal semi controlled bridge rectifying circuit of electric locomotive in the context of MATLAB/Simulink and suggests the fault analysis method based on the BP Neural Network. Based on the BP Neural Network, it produces failure data by simulation analysis, extracts the character of the faults and constructs the samples of the faults after the normalization processing. This paper also creates network to analyze and recognize the character of the faults and verifies the reliability and practicability of this method by simulation results.
机译:本文在MATLAB / Simulink的背景下,对电力机车三段不等式半控制桥式整流电路进行了故障诊断,提出了基于BP神经网络的故障分析方法。它基于BP神经网络,通过仿真分析生成故障数据,提取故障特征,并在归一化处理后构造故障样本。本文还建立了网络以分析和识别故障的特征,并通过仿真结果验证了该方法的可靠性和实用性。

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