[1]吴国中,李镇,宋增禄.风电叶片在线检测技术研究进展[J].南京工业职业技术学院学报,2018,(2):4-8.
　WU Guo-zhong,LI Zhen,SONG Zeng-lu.Progress in Research of Online Detection Technology for Wind Blade[J].,2018,(2):4-8.
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风电叶片在线检测技术研究进展()
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《南京工业职业技术学院学报》[ISSN:1671-4644/CN:32-1635/Z]

卷:
期数:
2018年第2期
页码:
4-8
栏目:
机电技术与应用
出版日期:
2018-06-28

文章信息/Info

Title:
Progress in Research of Online Detection Technology for Wind Blade
作者:
吴国中;  李镇;  宋增禄
南京工业职业技术学院 电气工程学院, 江苏 南京 210023
Author(s):
WU Guo-zhong;  LI Zhen;  SONG Zeng-lu
Nanjing Institute of Industry Technology, Nanjing 210023, China
关键词:
风电; 叶片; 在线检测
Keywords:
wind power; turbine blade; online detection
分类号:
TP273
摘要:
就风电设备运行过程中风机叶片的在线检测技术进行了讨论。叶片在线检测主要有两大类，分别是以应变、声发射等传感器检测为核心的侵入式检测和以图像检测为代表的非侵入检测，探讨了这两种检测模式中风电叶片损伤检测的实验手段以及损伤特征提取和识别的算法。
Abstract:
This paper discusses on-line detection technology for wind blade in the operation of wind power apparatus. There are mainly two types of onlinedetection mode:one is based on the sensors such as strain or acoustic emission, the other is non attached mode based on image detection. It also details the test method and algorithm for damage identification.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-04-23。
基金项目:江苏风力发电工程技术中心2016年度开放基金（编号：ZK16-03-05）；江苏省品牌专业资助项目（编号：PPZY2015B189）
作者简介:吴国中(1974-),男,南京工业职业技术学院副教授,工学硕士,研究方向:自动化控制及检测技术。
更新日期/Last Update: 1900-01-01