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cvrgram for Demodulation Band Determination in Bearing Fault Diagnosis under Strong Gear Interference

Journal of Dynamics, Monitoring and Diagnostics 2022年第4期1卷 237-250页

作者： Pengda Wang Dezun Zhao Dongdong Liu Lingli Cui Beijing Key Laboratory of Advanced Manufacturing Technology Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124

Fault-related resonance frequency band extraction-based demodulation methods are widely used for bearing ***,due to the high peaks of strong gear meshing interference,the classical band selection methods have poor performance and cannot work well for bearing fault type *** such,the cvrgram-based bearing fault diagnosis method is proposed in this *** the proposed method,inspired by the conditional variance(CV)index and root mean square(RMS),a novel index,named the CV/root mean square(CVR),is first *** CVR index has high robustness for the interference of non-Gaussian or Gaussian noise and has the ability to determine the center frequency of the weak bearing fault-related resonance frequency band under strong ***,motived by the Kurtogram,the cvrgram algorithm is developed for adaptively determining the optimal filtering ***,the cvrgram-based bearing fault diagnosis method under strong gear meshing interference is *** performance of the cvrgram-based method is verified by both the simulation signal and the experiment *** comparison analysis with the Kurtogram,Protrugram,and CVgram-based method shows that the proposed technique has a much better ability for bearing fault detection under strong noise interference.

关键词： bearing fault diagnosis cvrgram gear meshing interference resonance frequency band detection

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