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BroadNet: A Novel Broad Learning System Based Series AC Arc Fault Detection Approach with Zero Phase Component Analysis Whitening Transformation Journal article
Duan, Junwei, Zeng, Linghao, Wu, Yajie, Chen, Long, Chen, C. L.P.. BroadNet: A Novel Broad Learning System Based Series AC Arc Fault Detection Approach with Zero Phase Component Analysis Whitening Transformation[J]. IEEE Sensors Journal, 2024, 24(9), 14548-14560.
Authors:  Duan, Junwei;  Zeng, Linghao;  Wu, Yajie;  Chen, Long;  Chen, C. L.P.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:4.3/4.2 | Submit date:2024/05/16
Ac Series Arc  Broad Learning System  Fault Detection  Time And Frequency Analysis  Zca Whitening  
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain Journal article
Wang, Xian-Bo, Yang, Zhi-Xin, Wong, Pak Kin, Deng, Chao. Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain[J]. Memetic Computing, 2019, 11(2), 127-142.
Authors:  Wang, Xian-Bo;  Yang, Zhi-Xin;  Wong, Pak Kin;  Deng, Chao
Favorite | TC[WOS]:12 TC[Scopus]:16  IF:3.3/3.5 | Submit date:2019/04/04
Fault Diagnosis  Vibration Analysis  Wind Turbine Drivetrain  Local Mean Decomposition  Multilayer Extreme Learning Machines  Wind Energy  
Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC–DC Converters Journal article
Jia, Z., Liu, Z.B., Vong, C. M., Liu, X.. Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC–DC Converters[J]. IEEE Access (SCI-E), 2019, 67996-68009.
Authors:  Jia, Z.;  Liu, Z.B.;  Vong, C. M.;  Liu, X.
Favorite |   IF:3.4/3.7 | Submit date:2022/08/09
DC-DC converter  fault analysis  fault identi fication  failure prognosis  exemplar-based conditional particle filter  
Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC-DC Converters Journal article
Jia,Zhen, Liu,Zhenbao, Vong,Chi Man, Liu,Xin. Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC-DC Converters[J]. IEEE Access, 2019, 7, 67996-68009.
Authors:  Jia,Zhen;  Liu,Zhenbao;  Vong,Chi Man;  Liu,Xin
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:3.4/3.7 | Submit date:2021/03/11
Dc-dc Converter  Exemplar-based Conditional Particle Filter  Failure Prognosis  Fault Analysis  Fault Identification  
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine Journal article
Wong, P.K., Yang, Z. X., Vong, C. M., Zhong, J. H.. Real-time fault diagnosis for gas turbine generator systems using extreme learning machine[J]. Neurocomputing (SCI-E), 2014, 249-257.
Authors:  Wong, P.K.;  Yang, Z. X.;  Vong, C. M.;  Zhong, J. H.
Favorite |   IF:5.5/5.5 | Submit date:2022/08/09
Real-time fault diagnosis  gas turbine generator system  extreme learning machine  support vector machines  wavelet packet transform  time-domain statistical features  kernel principal component analysis  
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine Journal article
Wong, Pak Kin, Yang, Z.X., Vong, C.M., Zhong J.H.. Real-time fault diagnosis for gas turbine generator systems using extreme learning machine[J]. Neurocomputing, 2014, 128, 249-257.
Authors:  Wong, Pak Kin;  Yang, Z.X.;  Vong, C.M.;  Zhong J.H.
Favorite | TC[WOS]:123 TC[Scopus]:149 | Submit date:2018/10/30
Extreme Learning Machine  Gas Turbine Generator System  Kernel Principal Component Analysis  Real-time Fault Diagnosis  Time-domain Statistical Features  Wavelet Packet Transform  
A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns Journal article
Chi-Man Vong, Wong, Pak Kin, Weng-Fai Ip. A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns[J]. IEEE Transactions on Industrial Electronics, 2013, 60(8), 3372-3385.
Authors:  Chi-Man Vong;  Wong, Pak Kin;  Weng-Fai Ip
Favorite | TC[WOS]:61 TC[Scopus]:69  IF:7.5/8.0 | Submit date:2018/10/30
Automotive Applications  Fault Diagnosis  Feature Extraction  Genetic Algorithms (Ga)  Ignition  Internal Combustion Engines  Multiple Signal Classification  Principal Component Analysis (Pca)  Wavelet Packets  
Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine Journal article
Vong, C. M., Wong, P.K., Ip, W. F., Chiu, C. C.. Simultaneous-fault diagnosis of Automotive Engine Ignition Systems using Prior Domain Knowledge and Relevance Vector Machine[J]. Mathematical Problems in Engineering (SCI-E), 2013, 1-19.
Authors:  Vong, C. M.;  Wong, P.K.;  Ip, W. F.;  Chiu, C. C.
Favorite |   IF:1.430/1.393 | Submit date:2022/08/09
Engine ignition-pattern analysis  Simultaneous-fault diagnosis  Prior domain knowledge feature  Pairwise coupled relevance vector machine  Decision threshold optimization  
Machinery vibration signals analysis and monitoring for fault diagnosis and process control Conference paper
Dai J., Chen C.L.P., Xu X.-Y., Huang Y., Hu P., Hu C.-P., Wu T.. Machinery vibration signals analysis and monitoring for fault diagnosis and process control[C], 2008, 696-703.
Authors:  Dai J.;  Chen C.L.P.;  Xu X.-Y.;  Huang Y.;  Hu P.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date:2019/02/11
Condition Monitoring  Fault Detection  Process Control  Reliability  Vibration Analysis  
Condition Monitoring Based Systematic Modeling of Equipment Maintenance Conference paper
Yang, Z. X, Wong, S. F., Novo, F. F.. Condition Monitoring Based Systematic Modeling of Equipment Maintenance[C], 2008.
Authors:  Yang, Z. X;  Wong, S. F.;  Novo, F. F.
Favorite |  | Submit date:2019/07/24
Vibration Spectrum Analysis  Condition Monitoring Based  Sustainable Operator  Fault Detector Program