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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  
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.
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  
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:21/0  |  Submit date:2018/10/30
Rotating Machinery  Simultaneous-fault Diagnosis  Pairwise-coupled Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO Conference paper
Authors:  Pan, Jianjia;  Tang, Yuan Yan;  Yang, Lina;  IEEE
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
forecasting  empirical mode decomposition  fuzzy wavelet neural network  PSOSSO  
Adaptive Fourier decomposition based ECG denoising Journal article
Computers in Biology and Medicine, 2016,Volume: 77,Page: 195-205
Authors:  Wang Z.;  Wan F.;  Wong C.M.;  Zhang L.
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Adaptive Fourier Decomposition  Electrocardiogram (Ecg)  Gaussian Noise  Signal Denoising  
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  |  View/Download:3/0  |  Submit date:2018/12/22
Acoustic Signal Processing  Ensemble Empirical Mode Decomposition (Eemd)  Fault Diagnosis  Hybrid System  Sample Entropy (Sampen)  Singular Value Decomposition (Svd)  
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  
Adaptive Fourier decomposition approach for lung-heart sound separation Conference paper
2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015, Shenzhen, PEOPLES R CHINA, JUN 12-14, 2015
Authors:  Wang Z.;  Nuno Da Cruz J.;  Wan F.
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Adaptive Fourier Decomposition  Heart Sound  Lung Sound  
An adaptive ultrasonic backscattered signal processing technique for accurate object localization based on the instantaneous energy density level Journal article
Journal of Medical Imaging and Health Informatics, 2015,Volume: 5,Issue: 5,Page: 1059-1064
Authors:  Jin B.;  Vai M.I.
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Accurate Localization  Instantaneous Energy Density Level  SNR  Ultrasonic Backscattered Signal