发电技术 ›› 2020, Vol. 41 ›› Issue (6): 599-607.DOI: 10.12096/j.2096-4528.pgt.20044

• 新能源 • 上一篇    下一篇

风力机叶片损伤故障检测技术研究进展

杨昌杏(), 李录平()   

  • 收稿日期:2020-06-20 出版日期:2020-12-31 发布日期:2021-01-12
  • 通讯作者: 李录平
  • 作者简介:李录平(1963), 男, 教授, 博士生导师, 研究方向为动力机械状态检测与故障诊断, 本文通信作者, cs_liluping@163.com
    杨昌杏(1994), 男, 硕士研究生, 研究方向为动力机械状态检测与故障诊断, ycx1451353576@163.com
  • 基金资助:
    国家自然科学基金项目(51405033)

Research Progress on Blade Damage Fault Detection Technology of Wind Turbine

Changxing YANG(), Luping LI()   

  • Received:2020-06-20 Published:2020-12-31 Online:2021-01-12
  • Contact: Luping LI
  • Supported by:
    National Natural Science Foundation of China(51405033)

摘要:

针对目前风力机叶片损伤状态检测和故障诊断的方法开展综述,指出其研究现状和值得研究的问题。综述了风力机叶片的故障类型及其对应的故障机理以及5种常用的风力机叶片状态检测和故障诊断的方法。通过分析各种检测技术的优缺点发现,各种损伤检测技术都能够对风力机叶片存在的缺陷进行有效的检测,但是单一的检测技术已经无法满足对叶片损伤故障检测的要求,因此,可以采用多种检测技术相结合的方式对叶片进行综合检测。

关键词: 风力机叶片, 故障诊断, 状态检测

Abstract:

The methods of damage state detection and fault diagnosis of wind turbine blades were reviewed, and the research status and problems worthy of study were pointed out. The fault types and corresponding fault mechanism of wind turbine blades, several commonly used methods of state detection and fault diagnosis of wind turbine blades were summarized. The advantages and disadvantages of various detection techniques were analyzed. It is found that all kinds of damage detection technology can effectively detect defects in wind turbine blades, but single detection technology has been unable to meet the requirements of blade damage fault detection. Therefore, a variety of detection techniques can be used to conduct comprehensive detection of the blade.

Key words: wind turbine blade, fault diagnosis, status detection

中图分类号: