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• W2551444504 abstract "This extended abstract provides the scope of the semi-plenary lecture. A fault diagnosis system for a wind turbine typically has a modular structure, each module being dedicated to specific components or to performance monitoring. Important issues arising in the application of model-based fault diagnosis in an industrial context are discussed and illustrated on a performance monitoring module based on the wind turbine power curve. They include automated model identification (accounting for outliers and less frequent operating conditions), fault effect analysis, tuning and validation of fault detection algorithms. More case studies will be considered in the presentation and research perspectives will be pointed out." @default.
• W2551444504 created "2016-11-30" @default.
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• W2551444504 date "2016-09-01" @default.
• W2551444504 modified "2023-09-26" @default.
• W2551444504 title "Model-based fault diagnosis for wind turbines? Can it work in practice?" @default.
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• W2551444504 doi "https://doi.org/10.1109/systol.2016.7739835" @default.
• W2551444504 hasPublicationYear "2016" @default.
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