Asian, S.; Ertek, G.; Haksöz, Ç; Pakter, S.; Ulun, S.
Authors
S. Asian
G. Ertek
Ç Haksöz
S. Pakter
S. Ulun
Abstract
While 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. This paper presents the results obtained from the analysis of 240 wind turbine accidents from around the world. The main focus of this paper is revealing the associations between several factors and deaths and 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 studied. To this end, we conducted a detailed investigation that integrates exploratory and statistical data analysis and data mining methods. This paper presents a multitude of insights regarding the accidents and discusses implications for wind turbine manufacturers, engineering and insurance companies, and government organizations.
Citation
Asian, S., Ertek, G., Haksöz, Ç., Pakter, S., & Ulun, S. (2017). Wind Turbine Accidents: A Data Mining Study. IEEE Systems Journal, 11(3), 1567-1578. https://doi.org/10.1109/jsyst.2016.2565818
