基于参数优化变分模态分解的交流变频电机转子断条故障识别方法

doi:10.19595/j.cnki.1000-6753.tces.200572

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Abstract This paper presents a novel detection method for broken rotor bar fault in variable frequency AC motor based on variational mode decomposition (VMD) and Park transformation. The identification method of the fault characteristic frequency under the low-speed state was further studied. Combined with the characteristics of current signals and the firefly algorithm (FA), the adaptive decomposition ability of VMD was strengthened. On this basis, the supply frequency components of the three-phase current were extracted and the fault features were detected through Park transformation. Finally, simulation and experimental results show that the proposed method is superior to the empirical mode decomposition (EMD) for detecting early fault features and can realize the identification of the early fault frequencies, which is a great significance for the early fault detection and forecast of the variable frequency AC motor.

Key words： Variable frequency AC motor broken rotor bars variational mode decomposition (VMD) firefly algorithm (FA) Park transformation

Received: 29 May 2020

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TM343

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	Articles by authors
	Li Ruiyu
	Liu Fei
	Liang Lin
	Luo Ailing
	Xu Guanghua

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Li Ruiyu,Liu Fei,Liang Lin等. Fault Identification of Broken Rotor Bars for the Variable Frequency AC Motor Based on Parameter Optimized Variational Mode Decomposition[J]. Transactions of China Electrotechnical Society, 2021, 36(18): 3922-3933.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.200572 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I18/3922

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