Electrical Grounding Fault Prediction of EMU Traction Motor

The traction motor plays a key role in the EMU train’s power transmission system. The most frequent fault of traction motor is grounding fault. By using RBF neural network, decision tree and support vector machine (SVM) respectively, the traction motor’s electrical fault prediction model was built b...

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Principais autores:	Xuemiao PANG, Chunxing PEI, Chunguang YAN, Dongxing WANG, Jie JIANG
Format:	Artigo
Jezik:	Chinês
Izdano:	Editorial Department of Electric Drive for Locomotives 2021-07-01
Serija:	机车电传动
Teme:	EMU traction motor high-speed railway grounding fault prediction decision tree RBF neural network SVM fault diagnosis
Online dostop:	http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2021.04.020
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