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.
| Original language | English |
|---|---|
| Article number | 7489036 |
| Pages (from-to) | 1567-1578 |
| Number of pages | 12 |
| Journal | IEEE Systems Journal |
| Volume | 11 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Sept 2017 |
| Externally published | Yes |
Keywords
- Accidents
- data analysis
- data mining
- wind energy
- wind power generation
ASJC Scopus subject areas
- Control and Systems Engineering
- Information Systems
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering