• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Renewable energy >An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades
【24h】

An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades

机译：声发射方法在风机叶片运行状态监测中的实验研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A laboratory study is reported regarding fatigue damage growth monitoring in a complete 45.7 m long wind turbine blade typically designed for a 2 MW generator. The main purpose of this study was to investigate the feasibility of in-service monitoring of the structural health of blades by acoustic emission (AE). Cyclic loading by compact resonant masses was performed to accurately simulate in-service load conditions and 187 kcs of fatigue were performed over periods which totalled 21 days, during which AE monitoring was performed with a 4 sensor array. Before the final 8 days of fatigue testing a simulated rectangular defect of dimensions 1 m x 0.05 m x 0.01 m was introduced into the blade material. The growth of fatigue damage from this source defect was successfully detected from AE monitoring. The AE signals were correlated with the growth of delamination up to 0.3 m in length and channel cracking in the final two days of fatigue testing. A high detection threshold of 40 dB was employed to suppress AE noise generated by the fatigue loading, which was a realistic simulation of the noise that would be generated in service from wind impact and acoustic coupling to the tower and nacelle. In order to decrease the probability of false alarm, a threshold of 45 dB was selected for further data processing. The crack propagation related AE signals discovered by counting only received pulse signals (bursts) from 4 sensors whose arrival times lay within the maximum variation of travel times from the damage source to the different sensors in the array. Analysis of the relative arrival times at the sensors by triangulation method successfully determined the location of damage growth, which was confirmed by photographic evidence. In view of the small scale of the damage growth relative to the blade size that was successfully detected, the developed AE monitoring methodology shows excellent promise as an in-service blade integrity monitoring technique capable of providing early warnings of developing damage before it becomes too expensive to repair. (C) 2016 Elsevier Ltd. All rights reserved.
机译：据报道，一项实验室研究涉及在完整的45.7 m长的风力涡轮机叶片中进行疲劳损伤增长监测，该叶片通常设计用于2 MW发电机。这项研究的主要目的是研究通过声发射（AE）对叶片的结构健康状况进行在线监测的可行性。通过紧凑的共振质量进行循环加载，以准确模拟使用中的负载条件，并在总共21天的时间内进行了187 kcs疲劳，在此期间，使用4个传感器阵列进行AE监测。在疲劳测试的最后8天之前，将尺寸为1 m x 0.05 m x 0.01 m的模拟矩形缺陷引入到叶片材料中。通过AE监控成功地检测到了由该来源缺陷引起的疲劳损伤的增长。在疲劳测试的最后两天，AE信号与长达0.3 m的分层增长和通道破裂相关。采用40 dB的高检测阈值来抑制由疲劳载荷产生的AE噪声，这是对在使用中由于风的撞击以及与塔架和机舱的声学耦合而产生的噪声的真实模拟。为了降低误报的可能性，选择了45 dB的阈值用于进一步的数据处理。通过仅对来自4个传感器的接收脉冲信号（爆发）进行计数而发现的与裂纹扩展相关的AE信号，其到达时间位于从损伤源到阵列中不同传感器的行进时间的最大变化范围内。通过三角测量法对传感器的相对到达时间的分析成功确定了损伤增长的位置，这已被照相证据所证实。考虑到相对于成功检测到的刀片尺寸而言，相对于刀片尺寸而言，损伤增长的比例很小，因此，开发的AE监测方法具有很好的前景，它是一种在役刀片完整性监视技术，能够在损坏变得过于昂贵之前就提供损坏的早期预警。修理。 （C）2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2016年第12期|170-179|共10页
  • 作者

    Tang Jialin; Soua Slim; Mares Cristinel; Gan Tat-Hean;

  • 作者单位

    Natl Struct Integr Res Ctr, Cambridge, England|Brunel Univ London, Coll Engn Design & Phys Sci, London, England;

    TWI Ltd, Integr Management Grp, Cambridge, England;

    Brunel Univ London, Coll Engn Design & Phys Sci, London, England;

    Natl Struct Integr Res Ctr, Cambridge, England|TWI Ltd, Integr Management Grp, Cambridge, England|Brunel Univ London, Coll Engn Design & Phys Sci, London, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Acoustic emission; Fatigue; Structural health monitoring; Wind turbines blade; Composite materials;

    机译：声发射;疲劳;结构健康监测;风力涡轮机叶片;复合材料;

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