一种基于模糊故障Petri网的三相异步电动机故障分析方法

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Abstract In order to improve the stability of three-phase asynchronous motors,the fuzzy fault Petri net theory is used for motors’ state evaluation and fault diagnosis.According to the logic of motor failure,combined with the Petri net modeling method,the fuzzy fault Petri net model of motors is established.The enable transition firing matrix is proposed,combined with the MYCIN confidence matrix method,an accurate assessment of the state of the running motor is achieved.The reverse inference algorithm is the troubleshooting process,and a more concise full matrix reasoning algorithm is then proposed,which improves the diagnosis speed greatly.Using the minimum cut set theory for the priority diagnosis can avoid the blindness of diagnosis.Finally,the part fault model of the motor is used to deduce and analyze.With the help of the fault tree theory,the data of statistics,and method comparison,the validity and rationality of the model are verified.

Key words： Fuzzy fault Petri net three-phase asynchronous motor state evaluation and fault diagnosis matrix reasoning minimal cut set

Received: 08 December 2014 Published: 07 December 2015

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TM343

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	Articles by authors
	Cheng Xuezhen
	Wang Cheng
	Yu Yongjin
	Yi Lifeng
	Chen Qiang

Cite this article:

Cheng Xuezhen,Wang Cheng,Yu Yongjin等. An Approach for Three-Phase Asynchronous Motor Failure Analysis Based on Fuzzy Fault Petri Net[J]. Transactions of China Electrotechnical Society, 2015, 30(17): 132-139.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I17/132

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