首页> 外文期刊>Renewable & Sustainable Energy Reviews >A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management
【24h】

A review of diagnostics and prognostics of low-speed machinery towards wind turbine farm-level health management

机译:低速机械对风力涡轮机农场级健康管理的诊断和预测

获取原文
获取原文并翻译 | 示例
           

摘要

Large wind farms are gaining prominence due to increasing dependence on renewable energy. In order to operate these wind farms reliably and efficiently, advanced maintenance strategies such as condition based maintenance are necessary. However, wind turbines pose unique challenges in terms of irregular load patterns, intermittent operation and harsh weather conditions, which have deterring effects on life of rotating machinery. This paper reviews the state-of-the-art in the area of diagnostics and prognostics pertaining to two critical failure prone components of wind turbines, namely, low-speed bearings and planetary gearboxes. The survey evaluates those methods that are applicable to wind turbine farm-level health management and compares these methods on criteria such as reliability, accuracy and implementation aspects. It concludes with a brief discussion of the challenges and future trends in health assessment for wind farms. (C) 2015 Elsevier Ltd. All rights reserved.
机译:大型风电场由于对可再生能源的依赖性日益增强而日益突出。为了可靠,有效地运行这些风电场,需要先进的维护策略,例如基于状态的维护。然而,风力涡轮机在不规则的负载模式,间歇的运行和恶劣的天气条件方面提出了独特的挑战,这些挑战对旋转机械的寿命具有威慑作用。本文回顾了与风力涡轮机两个容易发生故障的关键组件(即低速轴承和行星齿轮箱)相关的诊断和预后方面的最新技术。该调查评估了适用于风力涡轮机农场级健康管理的那些方法,并根据可靠性,准确性和实施方面等标准对这些方法进行了比较。最后,简要讨论了风电场健康评估中的挑战和未来趋势。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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