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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/17253

Title: Use of Petri nets to model the maintenance of wind turbines
Authors: Leigh, Johanna M.
Dunnett, Sarah J.
Keywords: Petri nets
Wind turbine
Issue Date: 2016
Publisher: © 2014 John Wiley & Sons, Ltd
Citation: LEIGH, J.M. and DUNNETT, S.J., 2016. Use of Petri nets to model the maintenance of wind turbines. Quality and Reliability Engineering International, 32(1), pp.167-180.
Abstract: With large expansion plans for the offshore wind turbine industry there has never been a greater need for effective operations and maintenance. The two main problems with the current operations and maintenance of an offshore wind turbine are the cost and availability. In this work a simulation model has been produced of the maintenance process for a wind turbine with the aim of developing a procedure that can be used to optimise the process. This initial model considers three types of maintenance; periodic, conditional and corrective and also considers the weather in order to determine the accessibility of the turbine. Petri nets have been designed to simulate each type of maintenance and weather conditions. It has been found that Petri nets are a very good method to model the maintenance process due to their dynamic modelling and adaptability and their ability to test optimisation techniques. Due to their versatility Petri net models are developed for both system hardware and the maintenance processes and these are combined in an efficient and concise manner.
Description: This is the peer reviewed version of the following article: LEIGH, J.M. and DUNNETT, S.J., 2014. Use of Petri nets to model the maintenance of wind turbines. Quality and Reliability Engineering International, doi: 10.1002/qre.1737, which has been published in final form at http://dx.doi.org/10.1002/qre.1737. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Version: Accepted for publication
DOI: 10.1002/qre.1737
URI: https://dspace.lboro.ac.uk/2134/17253
Publisher Link: http://dx.doi.org/10.1002/qre.1737
ISSN: 1099-1638
Appears in Collections:Published Articles (Aeronautical and Automotive Engineering)

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