Wind Turbine Accidents: A Data Mining Study

dc.contributor.authorSobhan Asian
dc.contributor.authorGurdal Ertek
dc.contributor.authorCagri Haksoz
dc.contributor.authorSena Pakter
dc.contributor.authorSoner Ulun
dc.date.accessioned2019-02-06T05:48:56Z
dc.date.accessioned2023-08-20T10:57:23Z
dc.date.available2019-02-06T05:48:56Z
dc.date.available2023-08-20T10:57:23Z
dc.date.issued2017
dc.description.abstractWhile the global production of wind energy is increasing, there exists a significant gap in the academic and practice literature regarding the analysis of wind turbine accidents. Our paper presents the results obtained from the analysis of 240 wind turbine accidents from around the world. The main focus of our paper is revealing the associations between several factors and deaths & injuries in wind turbine accidents. Specifically, the associations of death and injuries with the stage of the wind turbine’s life cycle (transportation, construction, operation, and maintenance) and the main cause factor categories (human, system/equipment, and nature) were investigated. To this end, we conducted a detailed investigation that integrates exploratory and statistical data analysis methods with data mining methods. The paper presents a multitude of insights regarding the accidents and discusses implications for wind turbine manufacturers, engineering and insurance companies, and government organizations.en_US
dc.identifier.citationAsian, S., Ertek, G., Haksoz, C., Pakter, S., & Ulun, S. (2016). Wind turbine accidents: A data mining study. IEEE Systems Journal, 11(3), 1567-1578.
dc.identifier.doihttps://doi.org/10.1109/JSYST.2016.2565818
dc.identifier.urihttps://edms.wexl.in/handle/1/1524
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectWind energyen_US
dc.subjectWind power generationen_US
dc.subjectAccidentsen_US
dc.subjectData Miningen_US
dc.subjectData analysisen_US
dc.titleWind Turbine Accidents: A Data Mining Studyen_US
dc.title.alternativeIEEE Systems Journalen_US
dc.typeArticleen_US

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