无源雷达用于风电场结构健康监测的实践研究

M. Ummenhofer, C. Schwark, C. Kress, S. Mechlers, N. Denecke, A. Rohr, M. Fredebohm, M. Koch, A. Friedmann
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引用次数: 4

摘要

为了保持风力涡轮机的总寿命成本具有竞争力,必须将故障风险降至最低,降低维护成本,提高能源效率。为了实现这些目标,有必要安装高效的自动化多传感器在线监测和诊断系统,即所谓的状态监测系统(CMS)。风力发电场运营商、制造商和保险公司越来越认识到这些CMS系统的经济重要性。因此,市场上已经有许多CMS,但是监测和故障检测几乎完全局限于涡轮机传动系统。结构监测系统CMS,即结构健康监测系统(SHM)目前仅在非常有限的范围内可用,并且几乎完全用于研究背景。这尤其适用于监督风力涡轮机主要结构部件(如叶片、塔架和基础)的系统。本文探讨了一种基于雷达的替代监测技术的可能性,该技术利用公共广播传输来远程检测特定的损坏事件。这种被动双基地雷达系统(PBR)能够隔离和分析这种传输的信号成分,这些信号成分已经从环境中的物体(如风力涡轮机的大型结构)中分散开来。本研究旨在证明PBR系统能够作为一种潜在的新型SHM系统提取有关风力涡轮机结构动力的信息。本文给出的结果来自于一个原型PBR的测量数据,该原型目前部署在一个陆上风电场中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical investigation of using passive radar for structural health monitoring of wind farms
In order to keep total life time costs of wind turbines competitive, the risk of failure has to be minimized, maintenance costs have to be reduced and energy efficiency needs to be increased. To achieve these goals, it is necessary to install efficient automated multi-sensor online monitoring and diagnose systems, so-called condition monitoring systems (CMS). The economic importance of these CMS systems has been increasingly recognized by wind farm operators, manufacturers and insurance companies. Thus, numerous CMS are already available on the market, however monitoring and fault detection is almost exclusively limited to the turbines drive train. Structural monitoring systems CMS, so called structural health monitoring systems (SHM) are currently only available to a very limited extent and are used almost exclusively in the research context. This applies especially to systems supervising wind turbines primary structural components such as the blades, tower and foundations. This paper explores the possibility of an alternative radar based monitoring technique which utilizes public broadcast transmissions to detect specific damage events remotely. Such a passive bistatic radar system (PBR) is capable of isolating and analyzing signal components of such transmissions, that have been scattered from objects within the environment such as the large scale structures from a wind turbine. This investigation aims to demonstrate that a PBR system is capable of extracting information about the wind turbines structural dynamic as a potential new class of SHM system. The presented results were obtained from measurement data taken with a prototype PBR, which is currently deployed within an on-shore wind farm.
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