Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis
Author:
Affiliation:
1. School of Reliability and Systems Engineering, Beihang University, Haidian, China
2. School of Energy and Power Engineering, Beihang University, Jiangsu, China
Funder
National Natural Science Foundation of China
Science and Technology on Reliability and Environmental Engineering Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/9913345/09732251.pdf?arnumber=9732251
Reference30 articles.
1. A review on the application of blind deconvolution in machinery fault diagnosis
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3. The local mean decomposition and its application to EEG perception data
4. Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings
5. Improved local mean decomposition for modulation information mining and its application to machinery fault diagnosis
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