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Rotation improvement of vertical axis wind turbine by offsetting pitching angles and changing blade numbers Journal article
Energy, 2021,Volume: 215
Authors:  Sun,Xuejing;  Zhu,Jianyang;  Li,Zongjin;  Sun,Guoxing
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/09
Blade Number  Mean Power Coefficient  Offsetting Pitching Angle  Self-starting Characteristic  Vortex Separation  
Effects of blade shape and its corresponding moment of inertia on self-starting and power extraction performance of the novel bowl-shaped floating straight-bladed vertical axis wind turbine Journal article
Sustainable Energy Technologies and Assessments, 2020,Volume: 38
Authors:  Sun,Xuejing;  Zhu,Jianyang;  Hanif,Asad;  Li,Zongjin;  Sun,Guoxing
Favorite |  | TC[WOS]:7 TC[Scopus]:7 | Submit date:2021/03/09
Fatigue Characteristics  Power Coefficient  Self-starting Capability  Separated Vortex  Vawt  Wind Induced Rotation  
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 |  | TC[WOS]:3 TC[Scopus]:4 | 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 |  | TC[WOS]:25 TC[Scopus]:27 | 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 |  | TC[WOS]:0 TC[Scopus]:5 | 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 |  | TC[WOS]:38 TC[Scopus]:58 | Submit date:2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
Fault detection and isolation and fault tolerant control of wind turbines using set-valued observers Conference paper
IFAC Proceedings Volumes (IFAC-PapersOnline), Mexico City, 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS)
Authors:  P. Casau;  P. Rosa;  S.M. TabatabaeipourS.M.;  C. Silvestre
Favorite |  | TC[WOS]:0 TC[Scopus]:12 | Submit date:2019/02/13
A set-valued approach to FDI and FTC: Theory and implementation issues Conference paper
IFAC Proceedings Volumes (IFAC-PapersOnline), Mexico City, August 29-31, 2012
Authors:  P. Rosa;  P. Casau;  C. Silvestre;  S.M. Tabatabaeipour;  J. Stoustrup
Favorite |  | TC[WOS]:0 TC[Scopus]:16 | Submit date:2019/02/13
Fault Diagnosis  Fault Tolerant Control  Linear Time-varying Systems  Set-valued Observers  Uncertain Systems  
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 |  | TC[WOS]:0 TC[Scopus]:3 | 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 |  | TC[WOS]:6 TC[Scopus]:9 | Submit date:2018/11/06
Double-stator  Doubly Fed  Electric Machine  Finite-element Method (Fem)  High-temperature Superconducting (Hts)  Magnetic Field  Wind Power