| 引用本文: | 李 辉,胡姚刚,李 洋,杨 东,梁媛媛,欧阳海黎,兰涌森.大功率并网风电机组状态监测与故障诊断研究综述[J].电力自动化设备,2016,36(1): |
| LI Hui,HU Yaogang,LI Yang,YANG Dong,LIANG Yuanyuan,OUYANG Haili,LAN Yongsen.Overview of condition monitoring and fault diagnosis for grid-connected high-power wind turbine unit[J].Electric Power Automation Equipment,2016,36(1): |
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| 摘要: |
| 状态监测与故障诊断技术是降低大功率并网风电机组的故障率和其运维费用的有效手段之一。对风电机组状态评估和故障预测进行综述。首先，在分析国内外风电机组故障统计情况的基础上，提出状态监测需要关注的风电机组关键部件；其次，综述风电机组整机综合状态评估和故障预测研究现状；然后，重点评述和分析风电机组关键部件的状态监测与故障诊断方法；最后，提出大功率并网风电机组状态监测与故障诊断的研究要点及趋势。 |
| 关键词: 风电机组 状态监测 故障诊断 状态评估 多参数融合 故障预测 风电 故障分析 |
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| 基金项目:国际科技合作专项资助项目 （2013DFG61520）；国家自然科学基金资助项目（51377184）；中央高校基本科研业务费专项基金资助项目（CDJZR12150074）；重庆市集成示范计划项目（CSTC2013JCSF70003）；重庆市研究生科研创新项目（CYB14014） |
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| Overview of condition monitoring and fault diagnosis for grid-connected high-power wind turbine unit |
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LI Hui1, HU Yaogang1, LI Yang1, YANG Dong1, LIANG Yuanyuan2, OUYANG Haili3, LAN Yongsen3
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1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology，Chongqing University，Chongqing 400044，China;2.Chongqing KK-QIANWEI Wind Power Equipment Co.，Ltd.，Chongqing 401121，China;3.CSIC（Chongqing） Haizhuang Wind Power Equipment Co.，Ltd.，Chongqing 401122，China
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| Abstract: |
| Condition monitoring and fault diagnosis are effective ways to decrease the fault rate of grid-connected high-power wind turbine unit and its operational cost. The condition monitoring and fault forecasting technologies of wind turbine unit are reviewed. The key components of wind turbine unit requiring condition monitoring are proposed based on the statistical analysis of wind turbine unit faults at home and abroad，the research status of comprehensive condition assessment and fault forecasting for whole wind turbine unit is summarized，the methods of condition monitoring and fault diagnosis for the key components are emphatically analyzed，and the outlines and trend of condition monitoring and fault diagnosis for grid-connected high-power wind turbine unit are proposed. |
| Key words: wind turbine unit condition monitoring fault diagnosis condition assessment multi-parameter fusion fault forecasting wind power failure analysis |
