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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, Xian-Bo;  Yang, Zhi-Xin;  Yan, Xiao-An
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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)  
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
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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.
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Acoustic Signal  Ensemble Empirical Mode Decomposition  Sample Entropy  Singular Value Decomposition  Sparse Bayesian Extreme Learning Machine  
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  
Gearbox fault diagnosis based on artificial neural network and genetic algorithms Conference paper
Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011, Macao, China, 8-10 June 2011
Authors:  Yang Z.;  Hoi W.I.;  Zhong J.
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Artificial Neural Networks  Fault Diagnosis  Feature Selection  Genetic Algorithm  
Machine condition monitoring and fault diagnosis based on support vector machine Conference paper
IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management, Macao, China, 7-10 Dec. 2010
Authors:  Zhong J.;  Yang Z.;  Wong S.F.
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Distance Evaluation Technique  Feature Extraction  Gearbox Faults Diagnosis  Support Vector Machines  
Condition monitoring on complex machinery for predictive maintenance and process control Conference paper
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Authors:  Dai J.;  Chen C.L.P.;  Xu X.-Y.;  Hu P.
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Complex machinery  Condition monitoring  Data analysis  Measurement  Sensors