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Proceedings of ELM2019 Book
Cao, J.W., Vong, C. M., Miche, Y., Lendasse, A.. Proceedings of ELM2019[M]:Springer, 2020.
Authors:  Cao, J.W.;  Vong, C. M.;  Miche, Y.;  Lendasse, A.
Favorite |  | Submit date：2022/08/09
Extreme Learning Machines  
An ELM-Embedded Deep Learning Based Intelligent Recognition System for Computer Numeric Control Machine Tools Journal article
Luo,Luqing, Yang,Zhi Xin, Tang,Lulu, Zhang,Kun. An ELM-Embedded Deep Learning Based Intelligent Recognition System for Computer Numeric Control Machine Tools[J]. IEEE Access, 2020, 8, 24616-24629.
Authors:  Luo,Luqing;  Yang,Zhi Xin;  Tang,Lulu;  Zhang,Kun
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:3.4/3.7 | Submit date：2021/03/11
Cnc Tool Recognition  Convolutional Neural Networks  Extreme Learning Machines Auto-encode  Hybrid Deep Learning Networks  Tool Library Database  
Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine Journal article
Wang, Xian Bo, Miao, Pu, Zhang, Kun, Zhang, Xiaoyuan, Wang, Jun. Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine[J]. Transactions of the Institute of Measurement and Control, 2019, 41(14), 4100-4113.
Authors:  Wang, Xian Bo;  Miao, Pu;  Zhang, Kun;  Zhang, Xiaoyuan;  Wang, Jun
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:1.7/1.6 | Submit date：2022/05/17
Empirical Mode Decomposition  Extreme Learning Machines  Fault Diagnosis  Variational Mode Decomposition  Wind Turbine  
Proceedings of ELM2018 Book
Cao, J.W., Vong, C. M., Miche, Y., Lendasse, A.. Proceedings of ELM2018[M]:Springer, 2019.
Authors:  Cao, J.W.;  Vong, C. M.;  Miche, Y.;  Lendasse, A.
Favorite |  | Submit date：2022/08/09
Extreme Learning Machines  
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]:17  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  
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]:57 TC[Scopus]:74  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  
Proceedings of ELM-2016 Book
Cao, J.W., Cambria, E., Lendasse, A., Miche, Y., Vong, C. M.. Proceedings of ELM-2016[M]:Springer, 2017.
Authors:  Cao, J.W.;  Cambria, E.;  Lendasse, A.;  Miche, Y.;  Vong, C. M.
Favorite |  | Submit date：2022/08/09
Extreme Learning Machines  
Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach Journal article
Yang Z.-X., Wang X.-B., Zhong J.-H.. Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach[J]. Energies, 2016, 9(6).
Authors:  Yang Z.-X.;  Wang X.-B.;  Zhong J.-H.
Favorite | TC[WOS]:59 TC[Scopus]:88 | Submit date：2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
ELM Based Representational Learning for Fault Diagnosis of Wind Turbine Equipment Conference paper
Zhixin Yang, Xianbo Wang, Wong, Pak Kin, Jianhua Zhong. ELM Based Representational Learning for Fault Diagnosis of Wind Turbine Equipment[C], 2015, 169-178.
Authors:  Zhixin Yang;  Xianbo Wang;  Wong, Pak Kin;  Jianhua Zhong
Favorite |  | Submit date：2019/04/02
Fault Diagnosis  Autoencoder  Wind Turbine  Representational Learning  Classification  Extreme Learning Machines  
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