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Innovative Sensing and Monitoring of Shaft Torque Variations for an Optimized O&M of Wind Turbines

par De Bauw, Koen;Verbinnen, Filip;Caby, Benoit;Van de Vyvere, Guido;Helsen, Jan;Nesci Soares, Marcelo ;Gioia, Nicoletta
Référence Wind Europe Conference & Exhibition(2-4 April 2019: Spain, Bilbao)
Publication Publié, 2019-04-02

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Résumé :

Shaft torque is a physical parameter that reflects actual force exchanges and provides a direct insight inthe mechanical loading of slowly rotating drivetrain components. In general, parameters related tocomponent loading bring in more information for integrity assessment when compared to indirectparameters related to the reaction of components on forces, such as vibration measurements on bearingsor gears. Several technological barriers prevent shaft torque from being used systematically in conditionmonitoring today. This paper presents key findings of the TorqMonWind project. This 2-year project,finishing in March 2019, tackles the challenges for the introduction of shaft torque monitoring as acondition monitoring technique for wind turbine drivetrains. Project partners are ENGIE Laborelec andthe Vrije Universiteit Brussel. The project is supported by public funding from the Flemish government.A first objective is the development of an innovative measurement technology and methods for dataacquisition, data processing and data analysis that enable a reliable and cost effective measurement ofshaft torque variations, using electrical parameters and angular shaft position variations as input signals.A second objective is the definition of a methodology for using shaft torque variations as a conditionmonitoring dashboard parameter that delivers actionable information on the mechanical loading of windturbine drivetrain components, to detect and mitigate important deviations as found e.g. during gridincidents or wind gusts, and to support failure analysis. Both objectives are developed using a vast amountof field data from a dedicated pilot setup and from earlier field measurement campaigns.