期刊
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
卷 55, 期 5, 页码 5109-5118出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2019.2924866
关键词
Condition monitoring; induction motor drives; offshore wind farms (OWFs); permanent magnet synchronous machines (PMSMs); support vector machine (SVM) classifiers
资金
- Norwegian Center for Offshore Wind Energy (NORCOWE) from Research Council of Norway [193821/S60]
Pitch systems are one of the components with the most frequent failure in wind turbines. This paper presents a two-stage fault detection and classification scheme for electric motor drives in wind turbine pitch systems. The presented approach is suitable for application in offshore wind farms with electric pitch systems driven by induction motors as well as permanent magnet synchronous motors. The adopted strategy utilizes three-phase motor current sensing at the pitch drives for fault detection and only when a fault condition is detected at this stage, features extracted from the current signals are transmitted to a support vector machine classifier located centrally to the wind farm. The proposed method is validated in an in-house setup of the pitch drive.
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