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RESEARCH PRODUCT

A Two-Stage Fault Detection and Classification Scheme for Electrical Pitch Drives in Offshore Wind Farms Using Support Vector Machine

Jagath Sri Lal SenanyakaVan Khang HuynhSurya Teja KandukuriKjell G. Robbersmyr

subject

Electric motorWind powerbusiness.industryComputer science020209 energy020208 electrical & electronic engineeringCondition monitoring02 engineering and technologyFault (power engineering)TurbineIndustrial and Manufacturing EngineeringAutomotive engineeringFault detection and isolationOffshore wind powerControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringbusinessInduction motor

description

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.

yearjournalcountryeditionlanguage
2019-09-01IEEE Transactions on Industry Applications
https://doi.org/10.1109/tia.2019.2924866