| 风力发电机叶片状态监测与故障诊断技术近况 |
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| 引用本文： | 李刚,胡红利,李亚妮. 风力发电机叶片状态监测与故障诊断技术近况[J]. 工业仪表与自动化装置, 2017, 0(5) |
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| 作者姓名： | 李刚 胡红利 李亚妮 |
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| 作者单位： | 1. 西安交通大学 电力设备电气绝缘国家重点实验室,西安,710049;2. 国网青海省电力公司检修公司,西宁,810000 |
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| 基金项目： | 陕西省工业科技攻关计划项目，电力设备电气绝缘国家重点实验室主任基金，轨道交通控制与安全国家重点实验室开放课题，西电交大研究所项目 |
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| 摘 要： | 风力发电技术是新能源发电技术领域的重要研究方向,也是目前风能的主要利用方式,故风力发电机叶片稳健工作是风力发电过程的关键保障,对风力发电机叶片状态的实时在线监测技术也成为该领域的重要研究内容。该文回顾了风力发电机叶片机械故障的产生原理、现有的风力发电机叶片状态监测技术,对比了现有各技术的优势和劣势,分析了未来叶片检测技术的发展趋势。
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| 关 键 词： | 风力发电机叶片 状态监测 机械故障诊断 故障分类 |
Review on recent development of technology of monitoring & diagnosis of wind turbine generator blades |
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| LI Gang,HU Hongli,LI Ya,#;ni. Review on recent development of technology of monitoring & diagnosis of wind turbine generator blades[J]. Industrial Instrumentation & Automation, 2017, 0(5) |
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| Authors: | LI Gang,HU Hongli,LI Ya&# ni |
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| Affiliation: | LI Gang,HU Hongli,LI Ya'ni |
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| Abstract: | As the important research direction in the field of new energy power generation,currently, wind generating technology is the main utilization way of wind power. Wind turbine blades condition mo-nitoring is a key task which is significant to ensuring reliable and stable operation of wind turbines. So the real time online monitoring & diagnosis of wind turbine generator has become an important research con-tent in this field. In this paper, principles of mechanical failure of wind turbine blades and existing moni-toring & diagnosis of wind turbine are reviewed, the advantages and disadvantages of existing technologies are compared and developing trend of blade monitoring & diagnosis is analyzed. |
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| Keywords: | wind turbine blades condition monitoring mechanical fault diagnosis fault classification |
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