电网技术2018，Vol.42Issue(3)：849-860,12.DOI:10.13335/j.1000-3673.pst.2017.2311
大型风力发电机组故障诊断综述
Review of Fault Diagnosis Methods of Large-Scale Wind Turbines
摘要
Abstract
It is important to carry out large-scale wind turbine generator condition monitoring and fault diagnosis, grasping operating status and finding potential fault symptom in time, for reliable operation of large-scale wind turbine. Firstly, this paper presents types and characteristics of faults in mechanical and electrical systems in large-scale wind turbines. Secondly, fault signal processing methods of large-scale wind turbines are classified and analyzed, and then typical intelligent fault diagnosis methods of large-scale wind turbines are summarized. Finally, shortcomings in existing diagnostic methods and future research directions are pointed out.关键词
风力发电机/故障诊断/短时傅里叶变换/小波变换/经验模态分解/希尔伯特-黄变换/信息融合/智能故障诊断Key words
wind turbine/fault diagnosis/short-time Fourier transform (STFT)/wavelet transform (WT)/empirical mode decomposition (EMD)/Hilbert-Huang transform (HHT)/information fusion/intelligent fault diagnosis分类
信息技术与安全科学引用本文复制引用
曾军,陈艳峰,杨苹,郭红霞..大型风力发电机组故障诊断综述[J].电网技术,2018,42(3):849-860,12.基金项目
国家科技支撑计划项目(2015BAA06B02) （2015BAA06B02）
广东省科技计划项目(2016B020245001). Project Supported by the National Science and Technology Support Program (2015BAA06B02) （2016B020245001）
Science and Technology Planning Project of Guangdong Province, China (2016B020245001). （2016B020245001）
