Title

Condition based maintenance operation of wind turbines

RIS ID

102136

Publication Details

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.

Additional Publication Information

ISBN: 9783319095073

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.

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Link to publisher version (DOI)

http://dx.doi.org/10.1007/978-3-319-09507-3_87