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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 |