Condition Monitoring of Wind Turbines Conclusions
If offshore wind power is to reach anything like the reliability of onshore wind power, then turbines will increasingly need to be designed for reliability and condition-based maintenance will need to be intelligent enough to predict potential failures well ahead of time, allowing timely intervention and preventative maintenance. This article has presented three potential techniques that could be
From an analysis of industry data, it has been said that bearing problems account for between 21 and 95% of all failures in electrical machines.
used for condition monitoring of wind turbines. There are a number of other techniques being used in the field, including vibration measurements on the wind turbine drive train and analysis of
1.
Van Bussel GJW, Schöntag C, Operation and maintenance aspects of large offshore windfarms, Proceedings of the European Wind Energy Conference, Dublin, Ireland, October 6–9, 1997, pp. 272–5.
2.
Tavner PJ, Review of condition monitoring of rotating electrical machines, IET Electric Power Applications,
2008;2:215–47. 3.
Watson SJ, Xiang BJ, Yang W, Tavner PJ, Crabtree CJ, Condition monitoring of the power output of wind turbine generators using wavelets, IEEE Transactions on Energy Conversion, 2010;25:715–21.
4. Garlick WG, Dixon R, Watson SJ, A model-based approach to 5.
gearbox oil to detect bearing and teeth wear. Wind turbine operators require clear and accurate information about the state of health of their turbine fleet, including where to target maintenance. False alarms must be minimised as these will erode confidence in condition monitoring systems. The best way to give accurate and confident predictions of potential failures is to have a combination of different techniques, for example, vibration monitoring and power output analysis, to monitor generator health. The use of condition monitoring is well established in other industries but less so in the wind power sector, though wind turbines present certain unique challenges, not least the very variable loading conditions under which they operate. The value of condition monitoring is starting to be appreciated and the drive to offshore will see mature wind turbine health monitoring systems develop and become standard for all wind turbines. n
Acknowledgements
The author would like to acknowledge the UK Engineering and Physical Sciences Research Council for funding the research presented in this paper as part of the Supergen Wind Consortium (grant numbers EP/D034566/1 and EP/H018662/1).
wind turbine condition monitoring using SCADA data, Proceedings of the Twentieth International Conference on Systems Engineering, Coventry, UK, 8–10 September 2009.
Gray CS, Watson SJ, Physics of failure approach to wind turbine condition based maintenance, Wind Energy, 2010;13:395–405.
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