Ensemble Difference Mode Decomposition Based on Transmission Path Elimination Technology for Rotating Machinery Fault Diagnosis  
Author Jianchun Guo

 
Co-Author(s) Jiawei Xiang

 
Abstract Difference mode decomposition (DMD) is an ideal decomposition method that can accurately separate the signal into fault components, natural components, and noise. However, DMD is proposed based on the assumption that the amplitude of the noise spectral line is 0, and it cannot analyze the signal with a low signal-to-noise ratio. Due to the influence of the transmission path, the impulse excited by bearing faults in the real collected signals is often weak and submerged by strong noise. In order to expand the application scenarios of DMD, an ensemble DMD (EDMD) method based on transmission path elimination technology is proposed. Firstly, an ITD-based transmission path elimination technology is proposed to reduce the influence of excessive noise spectral line amplitude caused by the transmission path. Secondly, calculating the average of the difference between two kinds of normalized Fourier spectrums and using it as the initial weight of EDMD can improve the operation speed of EDMD. Finally, the signal with the transmission path eliminated is input to the EDMD to extract the faulty signal. Simulation and experimental verification show that this method can more accurately extract the fault features of rolling bearings under the influence of the transmission path.

 
Keywords Ensemble difference mode decomposition, transmission path, trend line, fault diagnosis, adaptive mode decomposition
   
    Article #:  RQD28-322
 

Proceedings of 28th ISSAT International Conference on Reliability & Quality in Design
August 3-5, 2023