Ensemble holo-Hilbert spectral analysis and its application in fault diagnosis of rolling bearing

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (13) : 98-105.

PENG Guoliang1, ZHENG Jinde1, PAN Haiyang1, TONG Jinyu1, LIU Qingyun1

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Abstract

Holo-Hilbert spectral analysis (HHSA) is a new signal processing technique that utilizes double-layer empirical mode decomposition (EMD) to reflect the cross scale coupling relationships in nonlinear and non-stationary vibration signals. However, there is a serious mode mixing problem in the signal decomposition process of EMD, which leads to inaccurate Instantaneous phase and frequency estimation and affects the analysis accuracy of HHSA. Based on this, an ensemble Holo-Hilbert spectral analysis (EHHSA) method is proposed. In the analysis process based on EHHSA, an amplitude modulation marginal spectrum analysis method that can reveal modulation characteristics was defined by integrating carrier variables. Finally, the analysis of simulation and measured data on rolling bearings shows that the proposed EHHSA method and amplitude modulation marginal spectrum have stronger feature extraction performance and noise robustness compared to traditional spectral analysis methods.

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Ensemble Holo-Hilbert spectrum analysis / Time-frequency analysis / Ensemble empirical mode decomposition / Fault diagnosis

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PENG Guoliang1, ZHENG Jinde1, PAN Haiyang1, TONG Jinyu1, LIU Qingyun1. Ensemble holo-Hilbert spectral analysis and its application in fault diagnosis of rolling bearing[J]. Journal of Vibration and Shock, 2024, 43(13): 98-105

References

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