Sparse-representation-based signal separation for high-speed train bearing fault diagnosis-Reference-Cited by-同舟云学术

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Sparse-representation-based signal separation for high-speed train bearing fault diagnosis

Published:2023-10-10 Issue: Volume: Page:
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Container-title:Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023)
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Author:

liu Fang,liu zixiang,xu yifan,zhu zihao,liu yongbin

Publisher

SPIE

Reference11 articles.

1. Acoustic wayside identification of freight car roller bearing defects;Cline,1998

2. Wayside acoustic fault diagnosis for locomotive bearings based on Doppler effect correction and EEMD method in time domain;Liu;Zhendong yu Chongji/Journal of Vibration and Shock,2013

3. Doppler distortion removal method for multiple acoustic sources;Zhang,2013

4. Multi-bearing defect detection with trackside acoustic signal based on a pseudo time–frequency analysis and Dopplerlet filter

5. Multi-bearing weak defect detection for wayside acoustic diagnosis based on a time-varying spatial filtering rearrangement

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