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Aviation Arc Fault Diagnosis Based on Weight Direct Determined Neural Network
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Indexed by:会议论文

Date of Publication:2013-10-20

Included Journals:EI、CPCI-S、Scopus

Abstract:A diagnosis method for the aviation fault arc is proposed in this paper, which is a multi-input weights direct determination (WDD) network. Characteristics of arc current are used for aviation arc fault detection. Arc fault samples are acquired with the help of a self-made arc generator. Feature vectors are obtained from the current of the samples with the wavelet transforming. After training, the fault diagnosis network is verified with the test samples. The result shows that the method has a better performance for aviation fault arc recognition with a simple algorithm.

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Title : 电信学部学部委员

Gender:Male

Alma Mater:大连理工大学

Degree:Doctoral Degree

School/Department:电气工程学院

Discipline:Electrical Machines and Apparatus. Power System And Its Automation. High Voltage and Insulation Technology

Business Address:大连理工大学电力电子研究所

Contact Information:0411-84708572

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