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Experimental Investigation of Heat Transfer and Pressure Drop Characteristics for Vertical Downflow using Traditional and 3D-printed Mini tubes Conference paper
Xi an, China, 2022.07.27-2022.07.31
Authors:  J.H. Chen;  L.M. Tam;  A.J. Ghajar
Adobe PDF | Favorite |  | TC[WOS]:29 TC[Scopus]:0 | Submit date:2022/08/30
Heat Transfer  Pressure Drop  3d Printed Mini Tube  
Fault Representations of Bearing Race Based on Grayscale Maps and CNN Networks Conference paper
Mechanisms and Machine Science
Authors:  Luo, Zeyu;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Convolutional neural network  Fault diagnosis  Synchronous resampling  Time-frequency representation  Variable loads  Wind turbine generator  
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]:51 TC[Scopus]:77 | Submit date:2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
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]:9 TC[Scopus]:13 | 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 |  | TC[WOS]:3 TC[Scopus]:6 | Submit date:2019/07/23
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 |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/04/02
Fault Diagnosis  Autoencoder  Wind Turbine  Representational Learning  Classification  Extreme Learning Machines