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Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach Journal article
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018,Volume: 14,Issue: 12,Page: 5245-5255
Authors:  Yang, Zhi-Xin;  Wang, Xian-Bo;  Wong, Pak Kin
Favorite | View/Download:16/0 | TC[WOS]:15 TC[Scopus]:25 | Submit date:2019/01/17
Extreme Learning Machines (Elm)  Fault Diagnosis  Local Mean Decomposition (Lmd)  Single And Simultaneous Faults  Multistage Gearbox  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
NEUROCOMPUTING, 2018,Volume: 310,Page: 265-276
Authors:  Chi-Man Vong;  Chen, Chuangquan;  Wong, Pak-Kin
Favorite | View/Download:114/0 | TC[WOS]:10 TC[Scopus]:14 | Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
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:32/0 | TC[WOS]:22 TC[Scopus]:37 | Submit date:2018/10/30
Rotating Machinery  Automotive Engine  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Kernel-Based Multilayer Extreme Learning Machines for Representation Learning Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 3,Page: 757-762
Authors:  Wong, Chi Man;  Vong, Chi Man;  Wong, Pak Kin;  Cao, Jiuwen
Favorite | View/Download:18/0 | TC[WOS]:33 TC[Scopus]:60 | Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Representation Learning  Stacked Autoencoder (Sae)  
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain Journal article
Memetic Computing, 2018
Authors:  Xian-Bo Wang;  Zhi-Xin Yang;  Pak Kin Wong;  Chao Deng
Favorite | View/Download:10/0 | TC[WOS]:0 TC[Scopus]:2 | Submit date:2019/04/04
Fault Diagnosis  Vibration Analysis  Wind Turbine Drivetrain  Local Mean Decomposition  Multilayer Extreme Learning Machines  Wind Energy  
Advances in extreme learning machines (ELM2015) Journal article
NEUROCOMPUTING, 2017,Volume: 261,Page: 1-3
Authors:  Lendasse, Amaury;  Vong, Chi Man;  Toh, Kar-Ann;  Miche, Yoan;  Huang, Guang-Bin
Favorite | View/Download:22/0 | TC[WOS]:3 TC[Scopus]:5 | Submit date:2018/10/30
Cascaded re-ranking modelling of translation hypotheses using extreme learning machines Journal article
APPLIED SOFT COMPUTING, 2017,Volume: 58,Page: 681-689
Authors:  Vong, Chi Man;  Liu, Yan;  Cao, Jiuwen;  Yin, Chun
Favorite | View/Download:27/0 | TC[WOS]:1 TC[Scopus]:2 | Submit date:2018/10/30
Cascaded Re-ranking Modelling  Extreme Learning Machine  Statistical Machine Translation  
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:38/0 | TC[WOS]:7 TC[Scopus]:7 | Submit date:2018/10/30
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.
Favorite | View/Download:9/0 | TC[WOS]:3 TC[Scopus]:10 | Submit date:2018/12/22
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.
Favorite | View/Download:8/0 | TC[WOS]:32 TC[Scopus]:52 | Submit date:2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine