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Modelling wind turbine degradation and maintenance

Le, Bryant; Andrews, John


Bryant Le

Professor of Infrastructure Asset Management


degradation, inspection and maintenance processes. The model was developed based on the Petri net method that effectively captures the stochastic nature of the dynamic processes through the use of appropriate statistical distributions. The versatility of the method allows the details of the degradation and maintenance operations to be incorporated in the model. In particular, there are dependent deterioration processes between wind turbine subsystems, complex maintenance rules and the incorporation of condition monitoring systems for early failure indication to enable replacement prior to failure. The purposes of the model are to predict the future condition of wind turbine components and to investigate the effect of a specified maintenance strategy. The model outputs are statistics indicating the performance of the wind turbine components; these include the probability of being in different condition states, the expected number of maintenance actions and the average number and duration of system downtime under any maintenance strategy.


Le, B., & Andrews, J. (2016). Modelling wind turbine degradation and maintenance. Wind Energy, 19(4),

Journal Article Type Article
Acceptance Date Mar 18, 2015
Online Publication Date May 27, 2015
Publication Date Apr 1, 2016
Deposit Date Sep 25, 2017
Publicly Available Date Sep 25, 2017
Journal Wind Energy
Print ISSN 1095-4244
Electronic ISSN 1099-1824
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 19
Issue 4
Keywords wind turbine; Petri net; degradation; maintenance modelling
Public URL
Publisher URL
Additional Information This is the peer reviewed version of the following article: Le, B., and Andrews, J. (2016) Modelling wind turbine degradation and maintenance. Wind Energ., 19: 571–591, which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.


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