Wind Turbine Accidents: A Data Mining Study

被引:40
|
作者
Asian, Sobhan [1 ]
Ertek, Gurdal [2 ]
Haksoz, Cagri [3 ]
Pakter, Sena [4 ]
Ulun, Soner [5 ]
机构
[1] RMIT Univ, Sch Business IT & Logist, Coll Business, Melbourne, Vic 3000, Australia
[2] Rochester Inst Technol Dubai, Dubai 341055, U Arab Emirates
[3] Sabanci Univ, Sch Management, TR-34956 Istanbul, Turkey
[4] Garanti Bank, TR-34340 Istanbul, Turkey
[5] Nanyang Technol Univ, Singapore 639798, Singapore
来源
IEEE SYSTEMS JOURNAL | 2017年 / 11卷 / 03期
关键词
Accidents; data analysis; data mining; wind energy; wind power generation; SYSTEM; RISK;
D O I
10.1109/JSYST.2016.2565818
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1567 / 1578
页数:12
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