2023
DOI: 10.1002/we.2883
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Wind turbine main bearing rating lives as determined by IEC 61400‐1 and ISO 281: A critical review and exploratory case study

Jarred Kenworthy,
Edward Hart,
James Stirling
et al.

Abstract: This paper studies the rating lives of wind turbine main bearings, as determined by the IEC 61400‐1 and ISO 281 standards. A critical review of relevant bearing life theory and turbine design requirements is provided, including discussion on possible shortcomings such as the existence (or not) of the bearing fatigue load limit and the validity of assuming linear damage accumulation. A detailed exploratory case study is then undertaken to determine rating lives for two models of main bearing in a 1.5 MW wind tu… Show more

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Cited by 5 publications
(3 citation statements)
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“…We can express the PCA reduction as follows by first computing the covariance matrix δ as in (4). After that, we perform a Singular Value Decomposition (SVD) σ on the covariance matrix δ, as in (5).…”
Section: Ubo-erexmentioning
confidence: 99%
See 1 more Smart Citation
“…We can express the PCA reduction as follows by first computing the covariance matrix δ as in (4). After that, we perform a Singular Value Decomposition (SVD) σ on the covariance matrix δ, as in (5).…”
Section: Ubo-erexmentioning
confidence: 99%
“…However, ensuring the reliable operation of wind turbines is crucial for maximizing energy output and minimizing maintenance costs [3,4]. Among the various components of wind turbines, bearings are particularly susceptible to degradation, which can lead to costly downtimes and safety risks [5,6]. Therefore, effective prognostics of bearing health are essential for predictive maintenance and planning, enabling timely interventions to prevent failures and optimize operational efficiency [7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…The operational lifespan evaluation of complex dynamic systems, which is crucial for the robust and long-lasting design of a variety of offshore structures exposed to in situ environmental pressures, is carried out in this study by employing a novel Gaidai risks evaluation methodology. For recent studies on WT safety and reliability, see (Cuesta 2024;Sharar and Hoover 2024;Kenworthy, et al 2024). In the following Sect.…”
Section: Introductionmentioning
confidence: 99%