All Stories

  1. Research on a cost-effective measure dedicated to stabilizing offshore wind farm crew transfer vessels

    Article • Renewable Energy, April 2019, Elsevier

    Dr Wenxian Yang

  2. Numerical research of an effective measure for stabilising floating wind turbines in shallow water

    Article • The Journal of Engineering, March 2019, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  3. Concept Research of a Countermeasure Device for Preventing Scour around the Monopile Foundations of Offshore Wind Turbines

    Article • Energies, September 2018, MDPI AG

    Dr Wenxian Yang

  4. Numerical Research of the Effect of Surface Biomimetic Features on the Efficiency of Tidal Turbine Blades

    Article • Energies, April 2018, MDPI AG

    Dr Wenxian Yang

  5. Advanced Health Condition Monitoring of Wind Turbines

    Article • January 2018, Springer Science + Business Media

    Weifei Hu, Dr Wenxian Yang

  6. An Enhanced Empirical Wavelet Transform for Features Extraction from Wind Turbine Condition Monitoring Signals

    Article • Energies, July 2017, MDPI AG

    Dr Wenxian Yang

  7. Structural health monitoring of composite wind turbine blades: challenges, issues and potential solutions

    Article • IET Renewable Power Generation, March 2017, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  8. Superiorities of variational mode decomposition over empirical mode decomposition particularly in time–frequency feature extraction and wind turbine condition monitoring

    Article • IET Renewable Power Generation, March 2017, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  9. Guest Editorial

    Article • IET Renewable Power Generation, March 2017, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  10. Bivariate Empirical Mode Decomposition and Its Applications in Machine Condition Monitoring

    Article • January 2017, Springer Science + Business Media

    Dr Wenxian Yang

  11. Precise Feature Extraction from Wind Turbine Condition Monitoring Signals by using Optimized Variational Mode Decomposition

    Article • IET Renewable Power Generation, October 2016, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  12. Hydrodynamic performance evaluation of a tidal turbine with leading-edge tubercles

    Article • Ocean Engineering, May 2016, Elsevier

    Dr Wenxian Yang

  13. Condition monitoring of offshore wind turbines

    Article • January 2016, Elsevier

    Dr Wenxian Yang

  14. Condition Monitoring and Damage Location of Wind Turbine Blades by Frequency Response Transmissibility Analysis

    Article • IEEE Transactions on Industrial Electronics, October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  15. Wind Turbine Condition Monitoring Based on an Improved Spline-Kernelled Chirplet Transform

    Article • IEEE Transactions on Industrial Electronics, October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  16. Wind turbine condition monitoring by detecting the transient period of a single generator stator current signal

    Article • May 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  17. Research on a power quality monitoring technique for individual wind turbines

    Article • Renewable Energy, March 2015, Elsevier

    Dr Wenxian Yang

  18. Data-driven technique for interpreting wind turbine condition monitoring signals

    Article • IET Renewable Power Generation, March 2014, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  19. S-Transform and its contribution to wind turbine condition monitoring

    Article • Renewable Energy, February 2014, Elsevier

    Dr Wenxian Yang

  20. Study on Order Analysis for Condition Monitoring Wind Turbine Gearbox

    Article • January 2014, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  21. Wind turbulence impacts to onshore and offshore wind turbines gearbox fatigue life

    Article • January 2014, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  22. Model Based Wind Turbine Gearbox Fault Detection on SCADA Data

    Article • January 2014, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  23. Experimental study on the optimum time for conducting bearing maintenance

    Article • Measurement, October 2013, Elsevier

    Dr Wenxian Yang

  24. Condition Monitoring the Drive Train of a Direct Drive Permanent Magnet Wind Turbine Using Generator Electrical Signals

    Article • Journal of Solar Energy Engineering, September 2013, ASME International

    Dr Wenxian Yang

  25. An online technique for condition monitoring the induction generators used in wind and marine turbines

    Article • Mechanical Systems and Signal Processing, July 2013, Elsevier

    Dr Wenxian Yang

  26. Wind Turbine Condition and Power Quality Monitoring by the Approach of Fast Individual Harmonic Extraction

    Article • Journal of Solar Energy Engineering, May 2013, ASME International

    Dr Wenxian Yang

  27. Wind turbine condition monitoring by the approach of SCADA data analysis

    Article • Renewable Energy, May 2013, Elsevier

    Dr Wenxian Yang

  28. wind turbine condition monitoring

    Article • Wind Energy, August 2012, Wiley

    Dr Wenxian Yang

  29. Research on a novel online condition monitoring technique for induction machinery

    Article • January 2012, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  30. Fast individual harmonic extraction: An efficient tool for wind turbine condition monitoring

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  31. Wind turbine condition monitoring and reliability analysis by SCADA information

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  32. Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

    Article • Journal of Sound and Vibration, July 2011, Elsevier

    Dr Wenxian Yang

  33. Condition Monitoring of the Power Output of Wind Turbine Generators Using Wavelets

    Article • IEEE Transactions on Energy Conversion, September 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  34. Cost-Effective Condition Monitoring for Wind Turbines

    Article • IEEE Transactions on Industrial Electronics, January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  35. Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery

    Article • Journal of Sound and Vibration, April 2009, Elsevier

    Dr Wenxian Yang

  36. Research on a simple, cheap but globally effective condition monitoring technique for wind turbines

    Article • September 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  37. Wind turbine condition monitoring and fault diagnosis using both mechanical and electrical signatures

    Article • July 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Wenxian Yang

  38. Condition monitoring and fault diagnosis of a wind turbine with a synchronous generator using wavelet transforms

    Article • January 2008, the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang

  39. DATA MINING BASED TECHNIQUE FOR DIAGNOSING THE FAULTS PRESENTING ON ENGINE VALVES

    Article • Journal of Mechanical Engineering, January 2004, Chinese Journal of Mechanical Engineering

    Dr Wenxian Yang

  40. Vibration-based diagnosis of engine valve faults

    Article • Insight - Non-Destructive Testing and Condition Monitoring, August 2003, British Institute of Non-Destructive Testing (BINDT)

    Dr Wenxian Yang

  41. STUDY ON THE SINGULAR ENTROPY OF MECHANICAL SIGNAL

    Article • Journal of Mechanical Engineering, January 2000, Chinese Journal of Mechanical Engineering

    Dr Wenxian Yang

  42. Introduction to condition monitoring

    Article • the Institution of Engineering and Technology (the IET)

    Dr Wenxian Yang