首页> 外文会议>International Conference on Wind Energy and Applications in Algeria >Failure causes Based Wind Turbine Components Classification and Failure Propagation: For proactive maintenance implementatio
【24h】

Failure causes Based Wind Turbine Components Classification and Failure Propagation: For proactive maintenance implementatio

机译:基于故障原因的风力涡轮机组件分类和故障传播:用于主动维护实施

获取原文
获取外文期刊封面目录资料

摘要

The wind turbine is a complex system that can be divided into subsystems or several independent components with many interrelationships that characterize dependencies. The maintenance cost of these machines represents a big part of the total price of the kWh (40% for offshore wind energy). New maintenance practice such as e-maintenance or proactive maintenance need accurate degradation model to avoid costly corrective maintenance. The assessment of the reliability of wind turbines has become increasingly important in recent years. Majority of existing works in the literature deal with the reliability at a component level. However, the maintenance task aims to repair all the system, which cannot be guaranteed by the knowledge of the state of a single component without the consideration if its interactions with the rest of the system. In this paper, we propose a new classification of the component of a wind turbine that consists in grouping the various components by their causes of failure. The purpose of this classification is to improve the future design of the system and to allow the performance of proactive maintenance by eliminating the cause of failure and prevent their re-occurrence.
机译:风力涡轮机是一个复杂的系统,可以分为多个子系统或几个独立的组件,这些组件具有表征依赖关系的许多相互关系。这些机器的维护成本占千瓦时总价格的很大一部分(海上风电占40%)。电子维护或主动维护等新维护实践需要精确的降级模型,以避免昂贵的纠正性维护。近年来,对风力涡轮机的可靠性的评估变得越来越重要。文献中现有的大多数工作都涉及组件级别的可靠性。但是,维护任务旨在修复所有系统,如果不考虑单个组件的状态与系统其余部分的交互作用,则无法通过了解单个组件的状态来保证维修。在本文中,我们提出了一种风力涡轮机组件的新分类方法,该分类方法是将各种组件按其故障原因进行分组。该分类的目的是改进系统的未来设计,并通过消除故障原因并防止其再次发生来实现主动维护的性能。

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