首页> 外文OA文献 >Wind turbine accidents: a data mining study
【2h】

Wind turbine accidents: a data mining study

机译:风力涡轮机事故:数据挖掘研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

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.
机译:随着全球风能产量的增长,有关风力涡轮机事故分析的学术和实践文献存在很大差距。本文介绍了通过分析来自世界各地的240例风力涡轮机事故获得的结果。本文的主要重点是揭示风力涡轮机事故中若干因素与死亡和受伤之间的关联。具体而言,研究了死亡和伤害与风力涡轮机生命周期阶段(运输,建造,运行和维护)以及主要成因因素类别(人,系统/设备和自然)之间的关系。为此,我们进行了详细的调查,将探索性和统计数据分析与数据挖掘方法集成在一起。本文提供了有关事故的多种见解,并讨论了对风机制造商,工程和保险公司以及政府组织的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号