A Blind Deconvolution Approach Based on Spectral Harmonics-to-Noise Ratio for Rotating Machinery Condition Monitoring
Author:
Affiliation:
1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China
2. CRRC Qingdao Sifang Company Ltd., Qingdao, China
3. Weichai Power Company Ltd., Weifang, China
Funder
National Natural Science Foundation of China
Independent Project of State Key Laboratory of Traction Power
China Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/8856/10094220/09790844.pdf?arnumber=9790844
Reference48 articles.
1. A review on the application of blind deconvolution in machinery fault diagnosis
2. Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis
3. Impulses Recovery Technique Based on High Oscillation Region Detection and Shifted Rank-1 Reconstruction—Its Application to Bearing Fault Detection
4. Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings
5. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines
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