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Wind turbine fault diagnosis based on Gaussian process classifiers applied to operational data Journal article
Renewable Energy, 2019,Page: 357-366
Authors:  Li,Yanting;  Liu,Shujun;  Shu,Lianjie
Favorite  |  View/Download:0/0  |  Submit date:2019/08/01
Conditional monitoring  Gaussian process classification  Predictive fault diagnosis  Support vector machine  Wind turbine  
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  |  View/Download:3/0  |  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  |  View/Download:4/0  |  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  |  View/Download:11/0  |  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, Xian-Bo;  Yang, Zhi-Xin;  Yan, Xiao-An
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
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 X.-B.;  Yang Z.-X.;  Yan X.-A.
Favorite  |  View/Download:6/0  |  Submit date:2018/12/22
Complex Rotating Machinery  Fault Diagnosis  Particle Swarm Optimization (Pso)  Signal Processing  Variational Mode Decomposition (Vmd)  
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:2/0  |  Submit date:2019/04/04
Fault Diagnosis  Vibration Analysis  Wind Turbine Drivetrain  Local Mean Decomposition  Multilayer Extreme Learning Machines  Wind Energy  
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  
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 J.;  Zhong J.-H.;  Yang Z.-X.
Favorite  |  View/Download:4/0  |  Submit date:2018/12/22
Acoustic Signal  Ensemble Empirical Mode Decomposition  Sample Entropy  Singular Value Decomposition  Sparse Bayesian Extreme Learning Machine  
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  |  View/Download:12/0  |  Submit date:2018/10/30
Analog Circuits  Deep Belief Network  Deep Learning  Diagnosis  Failure  Fault  Restricted Boltzmann Machines