The application of matching pursuit based on multi feature pattern set in the signal processing of rotating machinery
Author:
Affiliation:
1. Mechanical and Electrical Engineering Institute, Zhengzhou University of Light Industry, Zhengzhou, People's Republic of China
2. Vocational and Technical Institute, Huang Science and Technology College, Zhengzhou, People's Republic of China
Funder
The research is supported by the National Natural Science Foundation
Publisher
SAGE Publications
Subject
Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science
Link
http://journals.sagepub.com/doi/pdf/10.1177/1077546319844430
Reference20 articles.
1. Cyclostationary modelling of rotating machine vibration signals
2. Single-channel bearing vibration signal blind source separation method based on morphological filter and optimal matching pursuit (MP) algorithm
3. Application of pattern recognition in gear faults based on the matching pursuit of a characteristic waveform
4. Adaptive sparse representation based on circular-structure dictionary learning and its application in wheelset-bearing fault detection
5. Combining blind separation and cyclostationary techniques for monitoring distributed wear in gearbox rolling bearings
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