Electrical Signature Analysis Based Condition Monitoring and Diagnostics Techniques for Wind Turbines

被引:0
|
作者
Zhang, Pinjia [1 ]
Lu, Delong [1 ]
Salem, Sam [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] GE Wind Serv Renewables GE Power & Water, Schenectady, NY USA
来源
2017 IEEE 11TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED) | 2017年
关键词
Wind turbine; condition monitoring; fault diagnosis; electrical signature analysis; gearbox; bearing; generator; blade;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Wind power has become the most important component of renewable energy with advances in technology in recent years. Reducing operations and maintenance cost effectively and detecting the fault timely for wind turbines are critical to expand wind power use. Due to difficult access and harsh environment, offshore wind turbines have more urgent need for reducing operations and maintenance costs. This paper reviews typical failure modes of wind turbines and compares condition monitoring and diagnostics techniques for wind turbines based on electrical signature analysis with conventional analysis. With less demand for sensors, electrical signature analysis techniques is the key to promote wind industry.
引用
收藏
页码:338 / 345
页数:8
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