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Open AccessArticle

Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring

1
Projects and Maintenance Section, The Private Department of the President of the United Arab Emirates, Abu Dhabi 000372, UAE
2
Research and Development Department, Mathematical Modelling & Research Holding Limited, London W1W 7LT, UK
3
Department of Electronics, Robotics, Monitoring Technology, and IoT, National Aviation University, 03058 Kyiv, Ukraine
*
Author to whom correspondence should be addressed.
Energies 2019, 12(19), 3801; https://doi.org/10.3390/en12193801
Received: 17 June 2019 / Revised: 15 September 2019 / Accepted: 15 September 2019 / Published: 8 October 2019
(This article belongs to the Special Issue Maintenance Management of Wind Turbines)
Among the different maintenance techniques applied to wind turbine (WT) components, online condition monitoring is probably the most promising technique. The maintenance models based on online condition monitoring have been examined in many studies. However, no study has considered preventive maintenance models with incorporated probabilities of correct and incorrect decisions made during continuous condition monitoring. This article presents a mathematical model of preventive maintenance, with imperfect continuous condition monitoring of the WT components. For the first time, the article introduces generalized expressions for calculating the interval probabilities of false positive, true positive, false negative, and true negative when continuously monitoring the condition of a WT component. Mathematical equations that allow for calculating the expected cost of maintenance per unit of time and the average lifetime maintenance cost are derived for an arbitrary distribution of time to degradation failure. A numerical example of WT blades maintenance illustrates that preventive maintenance with online condition monitoring reduces the average lifetime maintenance cost by 11.8 times, as compared to corrective maintenance, and by at least 4.2 and 2.6 times, compared with predetermined preventive maintenance for low and high crack initiation rates, respectively. View Full-Text
Keywords: condition monitoring; preventive maintenance; sensor; uncertainty quantification; false positive; false negative; maintenance cost condition monitoring; preventive maintenance; sensor; uncertainty quantification; false positive; false negative; maintenance cost
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MDPI and ACS Style

Raza, A.; Ulansky, V. Optimal Preventive Maintenance of Wind Turbine Components with Imperfect Continuous Condition Monitoring. Energies 2019, 12, 3801.

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