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An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite |  | TC[WOS]:14 TC[Scopus]:18 | Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
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 |  | TC[WOS]:28 TC[Scopus]:33 | Submit date:2019/01/17
Extreme Learning Machines (Elm)  Fault Diagnosis  Local Mean Decomposition (Lmd)  Single And Simultaneous Faults  Multistage Gearbox  
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 |  | TC[WOS]:38 TC[Scopus]:45 | Submit date:2018/10/30
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.
Favorite |  | TC[WOS]:80 TC[Scopus]:87 | Submit date:2018/12/22
Complex Rotating Machinery  Fault Diagnosis  Particle Swarm Optimization (Pso)  Signal Processing  Variational Mode Decomposition (Vmd)  
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, Xian-Bo;  Yang, Zhi-Xin;  Yan, Xiao-An
Favorite |  | TC[WOS]:80 TC[Scopus]:87 | Submit date:2018/10/30
Complex rotating machinery  fault diagnosis  particle swarm optimization (PSO)  signal processing  variational mode decomposition (VMD)  
Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning Journal article
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017,Volume: 13,Issue: 3,Page: 1213-1226
Authors:  Liu, Zhenbao;  Jia, Zhen;  Vong, Chi-Man;  Bu, Shuhui;  Han, Junwei;  Tang, Xiaojun
Favorite |  | TC[WOS]:51 TC[Scopus]:60 | Submit date:2018/10/30
Analog Circuits  Deep Belief Network  Deep Learning  Diagnosis  Failure  Fault  Restricted Boltzmann Machines  
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 |  | 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 |  | TC[WOS]:7 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 |  | TC[WOS]:38 TC[Scopus]:58 | Submit date:2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis Journal article
Entropy, 2016,Volume: 18,Issue: 4
Authors:  Yang Z.-X.;  Zhong J.-H.
Favorite |  | TC[WOS]:24 TC[Scopus]:34 | Submit date:2018/12/22
Acoustic Signal Processing  Ensemble Empirical Mode Decomposition (Eemd)  Fault Diagnosis  Hybrid System  Sample Entropy (Sampen)  Singular Value Decomposition (Svd)