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A method for fault diagnosis in test system of electric motor wheels based on Fuzzy Petri Net

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2 Author(s)
Jin Tianxu ; School of Materials Science and Engineering, University of Science an Technology Beijing, 100081 China ; Zhang Ge

With the complexity in the test system of electric motor wheels, Fuzzy Petri Net is applied to the method of modeling fault transmission. Fuzzy production rules are introduced into knowledge representation, and the fault diagnosis method using fuzzy Petri Net and its reasoning algorithm are discussed. Using this method in fault diagnosis in the test system of electric motor wheels, the result demonstrates that Fuzzy Petri Net has an easy structure, a good expression of faults and effective capability of fuzzy reasoning. Fuzzy Petri Net is a useful method in fault diagnosis.

Published in:

Control Conference (CCC), 2012 31st Chinese

Date of Conference:

25-27 July 2012