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Noise Source Identification of Electric Drive Assembly Based on RVMD-RobustICA-ST Combined with Coherence Analysis
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Wei Zhang1, Guoxi Jing1, Zhengrui Yang2, 3, Hui Gao2, 3, Dong Wang2, 3
Automobile Technology | 2023, (5) : 15 - 24
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Automobile Technology | 2023, (5): 15-24
Noise Source Identification of Electric Drive Assembly Based on RVMD-RobustICA-ST Combined with Coherence Analysis
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Wei Zhang1, Guoxi Jing1, Zhengrui Yang2, 3, Hui Gao2, 3, Dong Wang2, 3
Affiliations
  • 1 Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Hebei University of Technology, Tianjin 300400
  • 2 CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300
  • 3 China Automotive Technology & Research Center Co., Ltd., Tianjin 300300
Published: 2023-05-24 doi: 10.19620/j.cnki.1000-3703.20220244
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In order to study the noise source characteristics of integrated electric drive assembly, this paper proposed a joint algorithm of RVMD-RobustICA-ST combined with coherence analysis method. Firstly, the spatial dimension of the noise was estimated by Rule of Dominant Eigenvalues(RDE) based on Singular Value Decomposition(SVD), and the variational modal decomposition was subjected to targeted conditional constraints, and then Robust Independent Component Analysis(RobustICA) combined with variational modal decomposition to extract signal features. Secondly, S Transform and Fast Fourier Transform were used to identify the time-frequency characteristics of each component signal. Finally, on the basis of analyzing the waveform error of the component signal using the quadratic residual method, a linear system was established with the vibration signal, noise signal, and time-frequency overlapping component signal of the electric drive assembly as variables for coherence analysis. The results show that the meshing vibration noise of the second gear pair of the reducer has the greatest contribution to the noise of the electric drive assembly under steady state conditions, and the noise energy of the time-frequency overlapping component signal is mainly provided by the meshing vibration of the first gear pair of the reducer.

Integrated electric drive assembly  /  Noise source identification  /  Singular value decomposition  /  Variational modal decomposition  /  Robust independent component analysis  /  S transform  /  Coherence analysis
Wei Zhang, Guoxi Jing, Zhengrui Yang, Hui Gao, Dong Wang. Noise Source Identification of Electric Drive Assembly Based on RVMD-RobustICA-ST Combined with Coherence Analysis[J]. Automobile Technology, 2023 , (5) : 15 -24 . DOI: 10.19620/j.cnki.1000-3703.20220244
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doi: 10.19620/j.cnki.1000-3703.20220244
  • Online Date：2025-12-07
  • Published：2023-05-24
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  • Revised：2022-05-11
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Affiliations
    1 Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Hebei University of Technology, Tianjin 300400
    2 CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300
    3 China Automotive Technology & Research Center Co., Ltd., Tianjin 300300
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https://castjournals.cast.org.cn/joweb/qcjs/EN/10.19620/j.cnki.1000-3703.20220244
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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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