Modelling wind turbine degradation and maintenance

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 degradat...

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Main Authors: Le, Bryant, Andrews, John
Format: Article
Published: Wiley 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/46719/
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author Le, Bryant
Andrews, John
author_facet Le, Bryant
Andrews, John
author_sort Le, Bryant
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-467192020-05-04T20:03:15Z https://eprints.nottingham.ac.uk/46719/ Modelling wind turbine degradation and maintenance Le, Bryant Andrews, John 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. Wiley 2016-04 Article PeerReviewed Le, Bryant and Andrews, John (2016) Modelling wind turbine degradation and maintenance. Wind Energy, 19 (4). pp. 571-591. ISSN 1099-1824 wind turbine; Petri net; degradation; maintenance modelling http://onlinelibrary.wiley.com/doi/10.1002/we.1851/full doi:10.1002/we.1851 doi:10.1002/we.1851
spellingShingle wind turbine; Petri net; degradation; maintenance modelling
Le, Bryant
Andrews, John
Modelling wind turbine degradation and maintenance
title Modelling wind turbine degradation and maintenance
title_full Modelling wind turbine degradation and maintenance
title_fullStr Modelling wind turbine degradation and maintenance
title_full_unstemmed Modelling wind turbine degradation and maintenance
title_short Modelling wind turbine degradation and maintenance
title_sort modelling wind turbine degradation and maintenance
topic wind turbine; Petri net; degradation; maintenance modelling
url https://eprints.nottingham.ac.uk/46719/
https://eprints.nottingham.ac.uk/46719/
https://eprints.nottingham.ac.uk/46719/