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Condition based maintenance operation of wind turbines

Conference Paper


Abstract


  • With application of advanced sensing technology, the condition based maintenance and operation has been made possible to many industrial systems. In a wind turbine, there are a few hundreds of sensing signals used to monitor the component performance and operational condition. The condition information is utilized in operational control of wind turbines and the wind farm in order to reduce the down time and Cost of Energy (CoE). In this chapter, a framework of condition based maintenance and operation of wind turbines is presented. This framework starts with data collection of sensing signals through SCADA and includes data processing and modeling, failure pattern recognition, remaining useful life/health condition prediction, load prediction (prediction of wind trend), integrated decision making for maintenance and operation of wind turbines and the wind farm, and maintenance planning. The research challenges involved in each step of the framework are discussed. The framework presented in this chapter serves as a guideline which is also useful to other systems.

Publication Date


  • 2015

Citation


  • Zhang, T., Dwight, R. & El-Akruti, K. (2015). Condition based maintenance operation of wind turbines. In P. W. Tse, J. Mathew, K. Wong, R. Lam & C. N. Ko (Eds.), Proceedings of the 8th World Congress on Engineering Asset Management (WCEAM 2013) & the 3rd International Conference on Utility Management & Safety (ICUMAS) (pp. 1013-1025). Switzerland: Springer International Publishing.

Scopus Eid


  • 2-s2.0-84950997705

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6054

Start Page


  • 1013

End Page


  • 1025

Abstract


  • With application of advanced sensing technology, the condition based maintenance and operation has been made possible to many industrial systems. In a wind turbine, there are a few hundreds of sensing signals used to monitor the component performance and operational condition. The condition information is utilized in operational control of wind turbines and the wind farm in order to reduce the down time and Cost of Energy (CoE). In this chapter, a framework of condition based maintenance and operation of wind turbines is presented. This framework starts with data collection of sensing signals through SCADA and includes data processing and modeling, failure pattern recognition, remaining useful life/health condition prediction, load prediction (prediction of wind trend), integrated decision making for maintenance and operation of wind turbines and the wind farm, and maintenance planning. The research challenges involved in each step of the framework are discussed. The framework presented in this chapter serves as a guideline which is also useful to other systems.

Publication Date


  • 2015

Citation


  • Zhang, T., Dwight, R. & El-Akruti, K. (2015). Condition based maintenance operation of wind turbines. In P. W. Tse, J. Mathew, K. Wong, R. Lam & C. N. Ko (Eds.), Proceedings of the 8th World Congress on Engineering Asset Management (WCEAM 2013) & the 3rd International Conference on Utility Management & Safety (ICUMAS) (pp. 1013-1025). Switzerland: Springer International Publishing.

Scopus Eid


  • 2-s2.0-84950997705

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6054

Start Page


  • 1013

End Page


  • 1025