A computational framework for life-cycle management of wind turbines incorporating structural health monitoring
A computational framework for life-cycle management of wind turbines incorporating structural health monitoring
复制标题
DOI：
10.1177/1475921713493344
复制
发表时间：
2013-06
期刊：
影响因子：
--
通讯作者：
K. Smarsly;D. Hartmann;K. Law
中科院分区：
文献类型：
--
作者：
K. Smarsly;D. Hartmann;K. Law
将结构健康监测与全寿命管理策略相结合，有助于风力发电机组的可靠运行，并显著降低全寿命成本。本文提出了一种用于风力涡轮机在线监测和性能评估的生命周期管理框架，以最小的相关生命周期成本实现最佳的维护和检查计划。通过连续更新监测数据（即结构、环境和运行数据），该框架允许捕获和理解实际的风力涡轮机状况，因此减少了结构响应以及作用在结构上的负载效应的不确定性。正如将在这篇文章中所示，该框架集成了各种异构的硬件和软件组件，包括传感器和数据采集单元，服务器系统，支持互联网的用户界面，以及系统识别的有限元模型，和一个多智能体系统的自我检测传感器故障。为了验证其能力，并证明其实用性，该框架部署的连续监测和生命周期管理的500千瓦的风力涡轮机。远程生命周期分析的监测风力涡轮机进行，和案例研究调查的结构性能和运行效率的风力涡轮机。
The integration of structural health monitoring into life-cycle management strategies can help facilitating a reliable operation of wind turbines and reducing the life-cycle costs significantly. This article presents a life-cycle management framework for online monitoring and performance assessment of wind turbines, enabling optimum maintenance and inspection planning at minimum associated life-cycle costs. Incorporating continuously updated monitoring data (i.e. structural, environmental, and operational data), the framework allows capturing and understanding the actual wind turbine condition and, hence, reduces uncertainty in structural responses as well as load effects acting on the structure. As will be shown in this article, the framework integrates a variety of heterogeneous hardware and software components, including sensors and data acquisition units, server systems, Internet-enabled user interfaces as well as finite element models for system identification, and a multiagent system for self-detecting sensor malfunctions. To validate its capabilities and to demonstrate its practicability, the framework is deployed for continuous monitoring and life-cycle management of a 500-kW wind turbine. Remote life-cycle analyses of the monitored wind turbine are conducted, and case studies are presented investigating both the structural performance and the operational efficiency of the wind turbine.