Wenxian Yang

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	总计	2019 年至今
引用	5941	3078
h 指数	37	29
i10 指数	76	57

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Peter TavnerEmeritus Professor, DSc, FIET, Eur Ing, Durham University, Department of Engineering在 durham.ac.uk 的电子邮件经过验证
Professor Christopher J CrabtreeDurham University, Department of Engineering在 durham.ac.uk 的电子邮件经过验证
冯延晖/Yanhui Feng南京理工大学/Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
peng z.kProfessor of M.E, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Binrong Wen (温斌荣)PhD, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Hrvoje KozmarUniversity of Zagreb Faculty of Mechanical Engineering and Naval Architecture在 fsb.unizg.hr 的电子邮件经过验证
Andrija BuljacPhD, University of Zagreb在 fsb.hr 的电子邮件经过验证
Simon WatsonProfessor of Wind Energy Systems在 tudelft.nl 的电子邮件经过验证
Zi-Qiang LangProfessor of Complex Systems Analysis and Design, University of Sheffield, UK在 sheffield.ac.uk 的电子邮件经过验证
David InfieldProfessor of Renewable Energy Technologies, University of Strathclyde在 eee.strath.ac.uk 的电子邮件经过验证
Weichao ShiReader in Net Zero Maritime Systems, Newcastle University在 newcastle.ac.uk 的电子邮件经过验证
Rose NormanReader in Marine Electrical Systems, Newcastle University在 ncl.ac.uk 的电子邮件经过验证
Chong NgORE Catapult在 ore.catapult.org.uk 的电子邮件经过验证
Shawn ShengNREL在 nrel.gov 的电子邮件经过验证
Hongbin TangChangsha University of Science and Technology在 csust.edu.cn 的电子邮件经过验证
Xinliang Tian (田新亮)Professor at Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Siniša DjurovićThe University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Professor Chin CSProfessor of Intelligent Systems Modelling and Simulation在 ncl.ac.uk 的电子邮件经过验证
YANG YANGShanghai Jiao Tong University在 shsmu.edu.cn 的电子邮件经过验证
LONG ZHANGUniversity of Manchester在 manchester.ac.uk 的电子邮件经过验证

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Wenxian Yang

Professor of Renewable Energy Engineering, The University of Huddersfield

在 hud.ac.uk 的电子邮件经过验证

Renewable energy machine condition monitoring reliability signal processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Wind turbine condition monitoring: technical and commercial challenges W Yang, PJ Tavner, CJ Crabtree, Y Feng, Y Qiu Wind energy 17 (5), 673-693, 2014	560	2014
Wind turbine condition monitoring by the approach of SCADA data analysis W Yang, R Court, J Jiang Renewable energy 53, 365-376, 2013	479	2013
Cost-effective condition monitoring for wind turbines W Yang, PJ Tavner, CJ Crabtree, M Wilkinson IEEE Transactions on industrial electronics 57 (1), 263-271, 2009	477	2009
Monitoring wind turbine gearboxes Y Feng, Y Qiu, CJ Crabtree, H Long, PJ Tavner Wind energy 16 (5), 728-740, 2013	326	2013
Machine fault diagnosis through an effective exact wavelet analysis WT Peter, W Yang, HY Tam Journal of sound and vibration 277 (4-5), 1005-1024, 2004	306	2004
Condition monitoring of the power output of wind turbine generators using wavelets SJ Watson, BJ Xiang, W Yang, PJ Tavner, CJ Crabtree IEEE transactions on energy conversion 25 (3), 715-721, 2010	280	2010
Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train W Yang, PJ Tavner, MR Wilkinson IET Renewable Power Generation 3 (1), 1-11, 2009	237	2009
Optimal design of electric vehicle battery recycling network–From the perspective of electric vehicle manufacturers L Wang, X Wang, W Yang Applied Energy 275, 115328, 2020	201	2020
Development of an advanced noise reduction method for vibration analysis based on singular value decomposition WX Yang, WT Peter Ndt & E International 36 (6), 419-432, 2003	179	2003
Interpretation of mechanical signals using an improved Hilbert–Huang transform WX Yang Mechanical Systems and Signal Processing 22 (5), 1061-1071, 2008	105	2008
Superiorities of variational mode decomposition over empirical mode decomposition particularly in time–frequency feature extraction and wind turbine condition monitoring W Yang, Z Peng, K Wei, P Shi, W Tian IET Renewable Power Generation 11 (4), 443-452, 2017	101	2017
Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data J Dai, W Yang, J Cao, D Liu, X Long Renewable energy 116, 199-208, 2018	98	2018
Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring W Yang, R Court, PJ Tavner, CJ Crabtree Journal of Sound and Vibration 330 (15), 3766-3782, 2011	98	2011
Condition monitoring and damage location of wind turbine blades by frequency response transmissibility analysis W Yang, Z Lang, W Tian IEEE Transactions on Industrial Electronics 62 (10), 6558-6564, 2015	89	2015
Detecting impulses in mechanical signals by wavelets WX Yang, XM Ren EURASIP Journal on Advances in Signal Processing 2004, 1-7, 2004	87	2004
Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery W Yang, PJ Tavner Journal of Sound and Vibration 321 (3-5), 1144-1170, 2009	86	2009
Wind turbine condition monitoring and fault diagnosis using both mechanical and electrical signatures W Yang, PJ Tavner, M Wilkinson 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2008	86	2008
Structural health monitoring of composite wind turbine blades: challenges, issues and potential solutions W Yang, Z Peng, K Wei, W Tian IET Renewable Power Generation 11 (4), 411-416, 2017	84	2017
Life-cycle assessment of the environmental impact of the batteries used in pure electric passenger cars X Shu, Y Guo, W Yang, K Wei, G Zhu Energy Reports 7, 2302-2315, 2021	82	2021
An online technique for condition monitoring the induction generators used in wind and marine turbines W Yang, PJ Tavner, R Court Mechanical Systems and Signal Processing 38 (1), 103-112, 2013	73	2013

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