The Fault Diagnosis of Rolling Bearing Based on Ensemble Empirical Mode Decomposition and Random Forest
Author:
Affiliation:
1. School of Basic Sciences, Changchun University of Technology, Changchun 130012, China
2. Graduate School, Changchun University of Technology, Changchun 130012, China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Hindawi Limited
Subject
Mechanical Engineering,Mechanics of Materials,Geotechnical Engineering and Engineering Geology,Condensed Matter Physics,Civil and Structural Engineering
Link
http://downloads.hindawi.com/journals/sv/2017/2623081.pdf
Reference23 articles.
1. Quantitative diagnosis of a spall-like fault of a rolling element bearing by empirical mode decomposition and the approximate entropy method
2. Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines
3. Rolling bearing fault detection using a hybrid method based on Empirical Mode Decomposition and optimized wavelet multi-resolution analysis
4. THE RELATIONSHIP BETWEEN SPECTRAL CORRELATION AND ENVELOPE ANALYSIS IN THE DIAGNOSTICS OF BEARING FAULTS AND OTHER CYCLOSTATIONARY MACHINE SIGNALS
5. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
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