Reliability analysis for wind turbines
Reliability analysis for wind turbines
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DOI：
10.1002/we.204
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发表时间：
2007-01-01
期刊：
影响因子：
4.1
通讯作者：
Spinato, F.
中科院分区：
文献类型：
--
作者：
Tavner, P. J.;Xiang, J.;Spinato, F.
现代风力涡轮机是复杂的空气动力学、机械和电气机器，其结合了复杂的控制系统。在欧洲、美国和其他地方，风力涡轮机的数量越来越多。在欧洲，德国和丹麦在开发这项技术方面发挥了特别突出的作用，这两个国家都安装了大量的涡轮机。这篇文章关注的是了解现代风力涡轮机的历史可靠性。这项工作的主要目标是从现有数据中提取信息，以便预测大型风力涡轮机的可靠性，特别是在未来安装在海上时。本文使用Windstats调查收集的数据，根据德国和丹麦的历史数据分析风力涡轮机部件的可靠性。风力统计数据具有实际可靠性调查的共同特征;例如，收集每个间隔的故障数量，但每个间隔的涡轮机数量不同。在这篇文章中，作者使用的可靠性分析方法，不仅适用于风力发电机组，但涉及到任何可修复系统。特别注意比较两个群体的结果，以考虑数据的有效性。本文的主要目的是讨论利用Windstats的分组调查数据预测大型风力涡轮机可靠性的实用方法，并说明涡轮机设计、涡轮机配置、时间、天气和可能的维护如何影响提取的结果。版权所有（c）2006约翰威利父子有限公司。
Modem wind turbines are complex aerodynamic, mechanical and electrical machines incorporating sophisticated control systems. Wind turbines have been erected in increasing numbers in Europe, the USA and elsewhere. In Europe, Germany and Denmark have played a particularly prominent part in developing the technology, and both countries have installed large numbers of turbines. This article is concerned with understanding the historic reliability of modem wind turbines. The prime objective of the work is to extract information from existing data so that the reliability of large wind turbines con be predicted, particularly when installed offshore in the future. The article uses data collected from the Windstats survey to analyse the reliability of wind turbine components from historic German and Danish data. Windstats data have characteristics common to practical reliability surveys; for example, the number of failures is collected for each interval but the number of turbines varies in each interval. In this article, the authors use reliability analysis methods which are not only applicable to wind turbines but relate to any repairable system. Particular care is taken to compare results from the two populations to consider the validity of the data. The main purpose of the article is to discuss the practical methods of predicting large-wind-turbine reliability using grouped survey data from Windstats and to show how turbine design, turbine configuration, time, weather and possibly maintenance con affect the extracted results. Copyright (c) 2006 John Wiley & Sons, Ltd.