DocumentCode :
3003351
Title :
Maintenance of wind turbine systems under continuous monitoring
Author :
Tian, Zhigang ; Jin, Tongdan
Author_Institution :
Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, QC, Canada
fYear :
2011
fDate :
24-27 Jan. 2011
Firstpage :
1
Lastpage :
6
Abstract :
By utilizing condition monitoring information collected from wind turbine components, condition based maintenance (CBM) can be used to reduce the operation and maintenance costs of wind power generation systems. The existing CBM methods for wind power generation systems deal with wind turbine components separately. In other words, maintenance decisions are made on individual components, rather than the whole system. However, a wind farm consists of multiple wind turbines, and each wind turbine has multiple components including main bearing, gearbox, generator, etc. There are economic dependencies among wind turbines and their components. That is, once a maintenance team is sent to the wind farm, it may be more economical to take the opportunity to maintain multiple turbines, and when a turbine is stopped for maintenance, it may be more cost-effective to simultaneously maintain multiple components which show relatively high risks. In this paper, we develop an optimal CBM solution to address the above-mentioned issues. A simulation method is developed to evaluate the cost of the CBM policy. A numerical example is provided to illustrate the proposed CBM approach.
Keywords :
condition monitoring; maintenance engineering; wind turbines; condition based maintenance; condition monitoring; continuous monitoring; economic dependencies; gearbox; generator; main bearing; maintenance costs; maintenance decisions; wind farm; wind power generation systems; wind turbine components; wind turbine systems; Artificial neural networks; Inspection; Maintenance engineering; Predictive models; Wind farms; Wind power generation; Wind turbines; artificial neural network; condition based maintenance; optimization; simulation; wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability Symposium (RAMS), 2011 Proceedings - Annual
Conference_Location :
Lake Buena Vista, FL
ISSN :
0149-144X
Print_ISBN :
978-1-4244-8857-5
Type :
conf
DOI :
10.1109/RAMS.2011.5754488
Filename :
5754488
Link To Document :
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