Damage detection techniques for wind turbine blades: A review

损害赔偿 涡轮机 涡轮叶片 风力发电 可靠性工程 故障检测与隔离 工程类 状态监测 计算机科学 法律工程学 机械工程 人工智能 电气工程 政治学 法学 执行机构
作者
Ying Du,Shengxi Zhou,Xingjian Jing,Yeping Peng,Hongkun Wu,Ngaiming Kwok
出处
期刊:Mechanical Systems and Signal Processing [Elsevier BV]
卷期号:141: 106445-106445 被引量:410
标识
DOI:10.1016/j.ymssp.2019.106445
摘要

Blades play a vital role in wind turbine system performances. However, they are susceptible to damage arising from complex and irregular loading or even cause catastrophic collapse, and they are expensive to maintain. Defects or damages on wind turbine blades (WTBs) not only reduce the lifespan and power generation efficiency of the wind turbine, but also increase monitoring errors, safety risks and maintenance costs. Therefore, damage detection for WTBs is of great importance for failure avoidance, maintenance planning, and operation sustainability of wind turbines. This paper provides a comprehensive review of state-of-the-art damage detection techniques for WTBs, including most of those updated methods based on strain measurement, acoustic emission, ultrasound, vibration, thermography and machine vision. Firstly, typical damages of WTBs are comprehensively introduced. Secondly, detection principles, development methods, pros and cons of the aforementioned techniques for blade inspection, and their fault indicators are reviewed. Finally, potential research directions of WTB damage detection techniques are addressed via a comparative analysis, and conclusions are drawn. It is expected that this review will provide guidelines for practical WTB inspections, as well as research prospects for damage detection techniques.
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