Fault classification of rolling bearing based on reconstructed phase space and Gaussian mixture model
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics
Reference19 articles.
1. Multiple band-pass autoregressive demodulation for rolling element bearing fault diagnosis;Altmann;Mechanical Systems and Signal Processing,2001
2. The application of energy operator demodulation approach based on EMD in machinery fault diagnosis;Junsheng;Mechanical Systems and Signal Processing,2007
3. Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics;Ocak;Journal of Sound and Vibration,2007
4. Application of an impulse response wavelet to fault diagnosis of rolling bearings;Junsheng;Mechanical Systems and Signal Processing,2007
5. Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition;Purushotham;NDT & E International,2005
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4. Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions;Structural Health Monitoring;2022-05-26
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