UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
A new framework for intelligent simultaneous-fault diagnosis of rotating machinery using pairwise-coupled sparse Bayesian extreme learning committee machine Journal article
Wong, P. K., Zhong, J.H., Yang, Z. X., Vong, C. M.. A new framework for intelligent simultaneous-fault diagnosis of rotating machinery using pairwise-coupled sparse Bayesian extreme learning committee machine[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (SCI-E), 2017, 1146-1161.
Authors:  Wong, P. K.;  Zhong, J.H.;  Yang, Z. X.;  Vong, C. M.
Favorite |  | Submit date:2022/08/09
Rotating machinery  simultaneous-fault diagnosis  pairwise-coupled sparse Bayesian extreme learning machine  probabilistic committee machine  
Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis Journal article
Wong, P. K., Zhong, J.H., Yang, Z. X., Vong, C. M.. Sparse Bayesian Extreme Learning Committee Machine for Engine Simultaneous Fault Diagnosis[J]. Neurocomputing (SCI-E), 2016, 331-343.
Authors:  Wong, P. K.;  Zhong, J.H.;  Yang, Z. X.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date:2022/08/09
Automotive Engine  Multi-signal Fusion  Simultaneous-fault Diagnosis  Sparse Bayesian Extreme Learning Machine  Probabilistic Committee Machine  
Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356 Other
2016-01-01
Authors:  Klionsky, Daniel J.;  Abdelmohsen, Kotb;  Abe, Akihisa;  Abedin, Md Joynal;  Abeliovich, Hagai; et al.
Favorite | TC[WOS]:407 TC[Scopus]:24 | Submit date:2022/07/20
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