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Sep 21, 2015
Fault Diagnosis of the Rectifying Circuit of Electric Locomotives
Authors: Jiafeng Sun and Yi GuoAuthor Affiliations
Publication: ICTE 2015
Abstract
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.
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© 2015 American Society of Civil Engineers.
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Published online: Sep 21, 2015
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Jiafeng Sun
College of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China. E-mail: [email protected]
Yi Guo
College of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China. E-mail: [email protected]
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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.