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Green lightweight laminated cementitious composite (LCC) for wind energy harvesting – A novel application of LCCs Journal article
Case Studies in Construction Materials, 2019,Volume: 10
Authors:  Hanif A.;  Diao S.;  Pei H.;  Li Z.;  Sun G.
Favorite  |  View/Download:7/0  |  Submit date:2019/04/08
Cementitious composite  Laminated composite  Lightweight  Wind energy harvesting  
Wind turbine fault diagnosis based on Gaussian process classifiers applied to operational data Journal article
Renewable Energy, 2019,Volume: 134,Page: 357-366
Authors:  Yanting Li;  Shujun Liu;  Lianjie Shu
Favorite  |  View/Download:2/0  |  Submit date:2019/08/01
Conditional Monitoring  Gaussian Process Classification  Predictive Fault Diagnosis  Support Vector Machine  Wind Turbine  
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain Journal article
Memetic Computing, 2018
Authors:  Xian-Bo Wang;  Zhi-Xin Yang;  Pak Kin Wong;  Chao Deng
Favorite  |  View/Download:4/0  |  Submit date:2019/04/04
Fault Diagnosis  Vibration Analysis  Wind Turbine Drivetrain  Local Mean Decomposition  Multilayer Extreme Learning Machines  Wind Energy  
Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach Journal article
Energies, 2016,Volume: 9,Issue: 6
Authors:  Yang Z.-X.;  Wang X.-B.;  Zhong J.-H.
Favorite  |  View/Download:2/0  |  Submit date:2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
FITBOX - A fault isolation toolbox Conference paper
the Proc. of the 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Paris, France, September 2-4, 2015
Authors:  Casau P.;  Rosa P.;  Silvestre C.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/12
Design and analysis of a new HTS double-stator doubly fed wind generator Journal article
IEEE Transactions on Applied Superconductivity, 2015,Volume: 25,Issue: 3
Authors:  Liu, Yulong;  Niu, Shuangxia;  Ho, S.L.;  Fu, W.N.;  Ching, T.W.
Favorite  |  View/Download:7/0  |  Submit date:2018/11/06
Double-stator  Doubly Fed  Electric Machine  Finite-element Method (Fem)  High-temperature Superconducting (Hts)  Magnetic Field  Wind Power  
Design and analysis of a direct-drive wind power generator with ultra-high torque density Journal article
Journal of Applied Physics, 2015,Volume: 117,Issue: 17
Authors:  Linni Jian;  Yujun Shi;  Jin Wei;  Yanchong Zheng
Favorite  |  View/Download:1/0  |  Submit date:2019/07/23
A set-valued approach to FDI and FTC of wind turbines Journal article
IEEE Transactions on Control Systems Technology, 2015,Volume: 23,Issue: 1,Page: 245-263
Authors:  Casau P.;  Rosa P.;  Tabatabaeipour S.M.;  Silvestre C.;  Stoustrup J.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/12
Fault Detection  Fault Diagnosis  Fault Tolerant Systems  Wind Energy.  
ELM Based Representational Learning for Fault Diagnosis of Wind Turbine Equipment Conference paper
Proceedings of ELM-2015, Hangzhou, China, Dec 2015
Authors:  Zhixin Yang;  Xianbo Wang;  Pak Kin Wong;  Jianhua Zhong
Favorite  |  View/Download:2/0  |  Submit date:2019/04/02
Fault Diagnosis  Autoencoder  Wind Turbine  Representational Learning  Classification  Extreme Learning Machines  
A coupled finite element model for constrained layer damped wind turbine blade under aerodynamic loads Journal article
Advanced Science Letters, 2012,Volume: 8,Page: 616-620
Authors:  Xiang K.;  Xie Z.;  Sin V.;  Zhang L.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/14
Constrained Layer Damping  Coupled Finite Element Modeling  Vibration  Wind Turbine Blade