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- Title
Aggregate reliability analysis of wind turbine generators.
- Authors
Rezamand, Milad; Carriveau, Rupp; Ting, David S.-K.; Davison, Matt; Davis, Justin Jeffrey
- Abstract
In North America, many utility-scale turbines are approaching, or are beyond the half-way point of their originally anticipated lifespan. Accurate estimation of the times to failure of major turbine components can provide wind farm owners insight into how to optimise the life and value of their farm assets. In this study, data records from a wind farm have been used to estimate the reliability of wind turbine (WT) generators. For this study, non-parametric life data analysis, Weibull Standard Folio life data analysis, and ALTA Standard Folio life data analysis have been used to predict the reliability of the generators. The naive prediction interval procedure also has been used here to provide an approximate range for the remaining life of each generator. This study provides some insight into how reliable a subset of WT generators is and the lifetime distribution of individual generators. These outcomes may be leveraged further by the research community for companion applications like prognostic maintenance and investment decision support systems. This study also begins to investigate how electrical loads may influence turbine generator reliability. The work also illustrates a valuable example of how to estimate component remaining useful life based on truncated/limited data records.
- Subjects
NORTH America; TURBINE generators; ELECTRICAL load; RELIABILITY in engineering; TIME perception; WIND power plants; WIND turbines; DECISION support systems
- Publication
IET Renewable Power Generation (Wiley-Blackwell), 2019, Vol 13, Issue 11, p1902
- ISSN
1752-1416
- Publication type
Article
- DOI
10.1049/iet-rpg.2018.5909