A comparative analysis on the variability of temperature thresholds through time for wind turbine generators using normal behaviour modelling
Turnbull, Alan and Carroll, James and McDonald, Alasdair (2022) A comparative analysis on the variability of temperature thresholds through time for wind turbine generators using normal behaviour modelling. Energies, 15 (14). 5298. ISSN 1996-1073 (https://doi.org/10.3390/en15145298)
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Abstract
Data-driven normal behaviour models have gained traction over the last few years as a convenient way of modelling turbine operational health to detect anomalies. By leveraging high-dimensional operational relationships, temperature thresholds can be automatically calculated based on each individual turbine unique operating envelope, in theory minimising false alarms and providing more reliable diagnostics. The aim of this work is to provide further insight into practical uses and limitations of implementing normal behaviour temperature models in practice, to inform practitioners, as well as assist in improving wind turbine generator fault detection systems. Results suggest that, on average, as little as two months of data are adequate to produce stable temperature alarm thresholds, with the worst case example requiring approximately 200–290 days of data depending on the component and desired convergence criteria.
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Item type: Article ID code: 81554 Dates: DateEvent21 July 2022Published21 July 2022Published Online8 July 2022AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 25 Jul 2022 10:09 Last modified: 14 Aug 2024 08:56 URI: https://strathprints.strath.ac.uk/id/eprint/81554