Aiming at the problem of noise source separation and identification of permanent magnet synchronous motor(PMSM),a method combining variational mode decomposition(VMD)-robust independent component analysis(RobustICA)and time-frequency analysis is applied.First,the PMSM noise signal is decomposed into multiple variational modal components with VMD.Then,the independent components of the main signal are extracted according to RobustICA.Finally,the results are identified by combining the time-frequency analysis results.The combined method can effectively deal with the modal aliasing problem in the integrated empirical mode decomposition(EEMD),and effectively alleviate the separation problem when the number of sensors is more than or equal to the noise source during the test.The results show that the extracted main independent components correspond to the electromagnetic noise and mechanical noise generated by PMSM,and the method can accurately separate and identify the electromagnetic noise and mechanical noise of PMSM.Through the effective separation and accurate identification of different noise sources of PMSM,it can provide a reliable basis for noise reduction,running status monitoring and fault diagnosis.
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