A simulation model based fault diagnosis method for bearings
Author:
Affiliation:
1. College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference23 articles.
1. Bearing Fault Location Detection for split torque bearingbox using AEsensors;Li;IEEE Trans Syst Man Cybern Part C,2012
2. A hybridfault diagnosis method using morphological filter-translation invariant wavelet and improved ensemble empirical modedecomposition;Meng;Mech Syst Signal Process,2015
3. Fault diagnosis ofrolling bearing based on second generationwavelet denoising and morphological filter;Meng;J Mech Sci Technol,2015
4. Rolling bearing faultdiagnosis approach using probabilistic principal component analysisdenoising and cyclic bispectrum;Jiang;J Vib Control,2016
5. Rolling element bearing faultdetection using PPCA and spectral kurtosis;Xiang;Measurement,2015
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