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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
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Rotating Machinery  Automotive Engine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Novel particle swarm optimization-based variational mode decomposition method for the fault diagnosis of complex rotating machinery Journal article
IEEE/ASME Transactions on Mechatronics, 2018,Volume: 23,Issue: 1,Page: 68-79
Authors:  Wang X.-B.;  Yang Z.-X.;  Yan X.-A.
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Complex Rotating Machinery  Fault Diagnosis  Particle Swarm Optimization (Pso)  Signal Processing  Variational Mode Decomposition (Vmd)  
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
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Rotating Machinery  Simultaneous-fault Diagnosis  Pairwise-coupled Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery Conference paper
Proceedings of the International Joint Conference on Neural Networks, Vancouver, BC, Canada, 24-29 July 2016
Authors:  Yang Z.-X.;  Zhang P.-B.
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Extreme Learning Machine (Elm)  Fault Diagnosis  Hybrid Intelligent Model  Network  Predication  Remaining Useful Life  
Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach Journal article
Energies, 2016,Volume: 9,Issue: 6
Authors:  Yang Z.-X.;  Wang X.-B.;  Zhong J.-H.
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Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
Simultaneous-fault diagnosis of gearboxes using probabilistic committee machine Journal article
Sensors (Switzerland), 2016,Volume: 16,Issue: 2
Authors:  Zhong J.-H.;  Wong P.K.;  Yang Z.-X.
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Hilbert-huang Transform  Pairwise-coupling Probabilistic Committee Machine  Simultaneous-fault Diagnosis  
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis Journal article
Neurocomputing, 2016,Volume: 174,Page: 331-343
Authors:  Wong P.K.;  Zhong J.;  Yang Z.;  Vong C.M.
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Automotive Engine  Multi-signal Fusion  Probabilistic Committee Machine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine Journal article
Neurocomputing, 2014,Volume: 128,Page: 249
Authors:  Wong P.K.;  Yang Z.;  Vong C.M.;  Zhong J.
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Extreme Learning Machine  Gas Turbine Generator System  Kernel Principal Component Analysis  Real-time Fault Diagnosis  Time-domain Statistical Features  Wavelet Packet Transform  
Machine learning method with compensation distance technique for gear fault detection Conference paper
Proceedings of the World Congress on Intelligent Control and Automation (WCICA), Taipei, Taiwan, 21-25 June 2011
Authors:  Yang Z.;  Zhong J.;  Wong S.F.
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Artificial Neural Network  Distance Evaluation Technique  Feature Extraction  Gearbox Faults Diagnosis  Support Vector Machines