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Faculty of Scie... [11]
THE STATE KEY LA... [1]
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WONG PAK KIN [6]
YANG ZHIXIN [5]
VONG CHI MAN [2]
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Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework
Journal article
Liang,Pengfei, Deng,Chao, Wu,Jun, Yang,Zhixin, Zhu,Jinxuan, Zhang,Zihan. Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework[J]. Knowledge-Based Systems, 2020, 198, 105895.
Authors:
Liang,Pengfei
;
Deng,Chao
;
Wu,Jun
;
Yang,Zhixin
;
Zhu,Jinxuan
; et al.
Favorite
|
TC[WOS]:
62
TC[Scopus]:
71
IF:
7.2
/
7.4
|
Submit date:2021/03/11
Adversarial Learning
Continuous Wavelet Transform
Fault Diagnosis
Gearbox
Simultaneous
Single
Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach
Journal article
Yang, Zhi-Xin, Wang, Xian-Bo, Wong, Pak Kin. Single and Simultaneous Fault Diagnosis With Application to a Multistage Gearbox: A Versatile Dual-ELM Network Approach[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14(12), 5245-5255.
Authors:
Yang, Zhi-Xin
;
Wang, Xian-Bo
;
Wong, Pak Kin
Favorite
|
TC[WOS]:
53
TC[Scopus]:
71
IF:
11.7
/
11.4
|
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
Zhong, Jian-Hua, Wong, Pak Kin, Yang, Zhi-Xin. Fault diagnosis of rotating machinery based on multiple probabilistic classifiers[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 108, 99-114.
Authors:
Zhong, Jian-Hua
;
Wong, Pak Kin
;
Yang, Zhi-Xin
Favorite
|
TC[WOS]:
71
TC[Scopus]:
82
IF:
7.9
/
8.0
|
Submit date:2018/10/30
Rotating Machinery
Automotive Engine
Simultaneous-fault Diagnosis
Sparse Bayesian Extreme Learning Machine
Probabilistic Committee Machine
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
A new framework for intelligent simultaneous-fault diagnosis of rotating machinery using pairwise-coupled sparse Bayesian extreme learning committee machine
Journal article
Wong, Pak Kin, Zhong, Jian-Hua, Yang, Zhi-Xin, Vong, Chi Man. 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, 2017, 231(6), 1146-1161.
Authors:
Wong, Pak Kin
;
Zhong, Jian-Hua
;
Yang, Zhi-Xin
;
Vong, Chi Man
Favorite
|
TC[WOS]:
11
TC[Scopus]:
12
IF:
1.8
/
1.9
|
Submit date:2018/10/30
Rotating Machinery
Simultaneous-fault Diagnosis
Pairwise-coupled Sparse Bayesian Extreme Learning Machine
Probabilistic Committee Machine
Simultaneous-fault diagnosis of gearboxes using probabilistic committee machine
Journal article
Zhong J.-H., Wong, Pak Kin, Yang Z.-X.. Simultaneous-fault diagnosis of gearboxes using probabilistic committee machine[J]. Sensors, 2016, 16(2).
Authors:
Zhong J.-H.
;
Wong, Pak Kin
;
Yang Z.-X.
Favorite
|
TC[WOS]:
30
TC[Scopus]:
32
|
Submit date:2018/12/22
Hilbert-huang Transform
Pairwise-coupling Probabilistic Committee Machine
Simultaneous-fault Diagnosis
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis
Journal article
Wong, Pak Kin, Zhong, Jianhua, Yang, Zhixin, Vong, Chi Man. Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis[J]. Neurocomputing, 2016, 174, 331-343.
Authors:
Wong, Pak Kin
;
Zhong, Jianhua
;
Yang, Zhixin
;
Vong, Chi Man
Favorite
|
TC[WOS]:
62
TC[Scopus]:
76
|
Submit date:2018/12/22
Automotive Engine
Multi-signal Fusion
Probabilistic Committee Machine
Simultaneous-fault Diagnosis
Sparse Bayesian Extreme Learning 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
Simultaneous-fault Detection based on Qualitative Symptom Descriptions for Automotive Engine Diagnosis
Journal article
Vong, C. M., Wong, Pak Kin, Wong, K.I.. Simultaneous-fault Detection based on Qualitative Symptom Descriptions for Automotive Engine Diagnosis[J]. Applied Soft Computing, 2014, 22, 238-248.
Authors:
Vong, C. M.
;
Wong, Pak Kin
;
Wong, K.I.
Favorite
|
IF:
7.2
/
7.0
|
Submit date:2022/08/09
Simultaneous-fault Diagnosis
Fuzzy Logic
Probabilistic Classification
Decision Threshold Optimization
Automotive Engine Diagnosis
Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis
Journal article
Vong C.M., Wong P.K., Wong K.I.. Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis[J]. Applied Soft Computing Journal, 2014, 22, 238-248.
Authors:
Vong C.M.
;
Wong P.K.
;
Wong K.I.
Favorite
|
TC[WOS]:
26
TC[Scopus]:
29
|
Submit date:2019/02/13
Automotive Engine Diagnosis
Decision Threshold Optimization
Fuzzy Logic
Probabilistic Classification
Simultaneous-fault Diagnosis