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Fault diagnosis of rotating machinery based on multiple probabilistic classifiers Journal article
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018,Volume: 108,Page: 99-114
Authors:  Zhong, Jian-Hua;  Wong, Pak Kin;  Yang, Zhi-Xin
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Rotating Machinery  Automotive Engine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery Journal article
ENERGIES, 2017,Volume: 10,Issue: 10
Authors:  Liang, Jiejunyi;  Zhong, Jian-Hua;  Yang, Zhi-Xin
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
acoustic signal  ensemble empirical mode decomposition  sparse Bayesian extreme learning machine  sample entropy  singular value decomposition  
A new framework for intelligent simultaneous-fault diagnosis of rotating machinery using pairwise-coupled sparse Bayesian extreme learning committee machine Journal article
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2017,Volume: 231,Issue: 6,Page: 1146-1161
Authors:  Wong, Pak Kin;  Zhong, Jian-Hua;  Yang, Zhi-Xin;  Vong, Chi Man
Favorite  |  View/Download:19/0  |  Submit date:2018/10/30
Rotating Machinery  Simultaneous-fault Diagnosis  Pairwise-coupled Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine