Abstract

The paper analyzes the fault principle of the SS7E locomotive converter, and classifies the fault sorts of it. The paper describes a method of adopting wavelet analysis to extract energy eigenvector from the output voltage wave of the converter, and proposes a fault diagnosis method of the converter by using energy eigenvector and neural-network technology. The hardware frame and software design of the fault diagnosis system are discussed and the application scheme to diagnose the specific fault position of converter online by increasing a few monitoring points is proposed. The validity of the method is proved by computer simulation.

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