Dr. Wenxian Yang

Newcastle University, UK

Email: wenxian.yang@ncl.ac.uk

Qualifications

1999 Ph.D., Xi’an Jiaotong University, China. Mechanical Engineering

1995 M.Sc., Taiyuan University of Technology, China. Mechanical Engineering

1992 B.Sc., Taiyuan University of Technology, China. Mechanical Engineering

Publications (Selected)

1. Wenxian Yang, S. Sheng, R. Court, Operational-Condition-Independent Criteria Dedicated to Monitoring Wind Turbine Generators. International Journal of Prognostics and Health Management, 4 (Special Issue Wind Turbine PHM), p1-8, 2013.
2. Wenxian Yang, R. Court, J.S. Jiang, Wind turbine condition monitoring by the approach of SCADA data analysis, Renewable Energy – Journal - Elsevier, 53, p365-376, 2013.
3. Wenxian Yang, P. Tavner, R. Court, An online technique for condition monitoring the induction generators used in wind and marine turbines. Mechanical Systems and Signal Processing, 38(1), p103-112, 2013.
4. Wenxian Yang, R. Court, Experimental study on the optimum time for conducting bearing maintenance. Measurement, 46(8), p2781-2791, 2013.
5. Wenxian Yang, P.J. Tavner, and C.J. Crabtree, Wind turbine condition monitoring: Technical & Commercial challenges, Wind Energy, In Press, DOI: 10.1002/we.1508, 2013.
6. Wenxian Yang, Jiesheng Jiang, Machine condition monitoring by a novel fractal analysis, Journal of Advanced Materials Research, 452-453, p1434-1440, 2012.
7. Wenxian Yang, C. H. Ng, J.S. Jiang, Wind turbine condition monitoring by the approach of Fast Individual Harmonic Extraction, ASME Journal of Solar Energy Engineering, 135(3), 034504, 2013.
8. Wenxian Yang, Monitoring a direct drive permanent magnet wind turbine using generator electrical signals, ASME Journal of Solar Energy Engineering, Accepted, 2013.
9. Wenxian Yang, R. Court, P.J. Tavner, C.J. Crabtree, Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring, Journal and Sound and Vibration, 330(15), p3766-3782, 2011.
10. Wenxian Yang, P.J. Tavner, C.J. Crabtree, M.R. Wilkinson, Cost-effective, global condition monitoring for wind turbines, IEEE Transactions on Industrial Electronics, 57(1), p263-271, 2010.
11. Wenxian Yang and P. J. Tavner, Empirical Mode Decomposition, an Adaptive Approach for Interpreting Shaft Vibratory Signals of Large Rotating Machinery, Journal of Sound and Vibration, 321(3-5), p1144-1170, 2009.
12. Wenxian Yang, P. J. Tavner and M.R. Wilkinson, Condition Monitoring and Fault Diagnosis of a Wind Turbine Synchronous Generator Drive Train, IET Journal of Renewable Power Generation, 3(1), p1-11, 2009.
13. Wenxian Yang, Interpretation of mechanical signals using an improved Hilbert-Huang transform, Mechanical Systems and Signal Processing, 22(5), p1061-1071, 2008.
14. Wenxian Yang, A natural way for improving the accuracy of the continuous wavelet transforms, Journal of Sound and Vibration, 306(3-5), p928-939, 2007.
15. Wenxian Yang, Establishment of the mathematical model for diagnosing the engine valve faults by genetic programming, Journal of Sound and Vibration, 293(1-2), p213-226, 2006.
16. Wenxian Yang, J. Barry Hull and M.D. Seymour, Detecting the singularities in engineering signals, Journal of Materials Processing Technology, 175(1-3), p439-445, 2006.
17. Wenxian Yang and Peter W.Tse, An advanced strategy for detecting impulses in mechanical signals, Transactions of the ASME: Journal of Vibration and Acoustics, 127(3), p280-284, 2005.
18. Wenxian Yang, J. Barry Hull and M.D. Seymour, A contribution to the applicability of complex wavelet analysis of ultrasonic signals, NDT & E International, 37 (6), p497-504, 2004.
19. Wenxian Yang, An improved genetic algorithm adopting immigration operator, International Journal of Intelligent Data Analysis, 8(3), p385-401, 2004.
20. Wenxian Yang and X.-M. Ren, Detecting impulses in mechanical signals by wavelets, EURASIP Journal on Applied Signal Processing, 8, p1156-1162, 2004.

Profile Details

http://www.ncl.ac.uk/marine/staff/profile/wenxian.yang