Digital twin modeling for predictive maintenance of gearboxes in floating offshore wind turbine drivetrains

Forschung auf dem Gebiet des Ingenieurwesens A - Tập 85 Số 2 - Trang 273-286 - 2021
Farid Khazaeli Moghadam1, Geraldo F. de S. Rebouças1, Amir R. Nejad1
1Norwegian University of Science and Technology, Trondheim, Norway

Tóm tắt

AbstractThis paper presents a multi-degree of freedom torsional model of drivetrain system as the digital twin model for monitoring the remaining useful lifetime of the drivetrain components. An algorithm is proposed for the model identification, which receives the torsional response and estimated values of rotor and generator torques, and calculates the drivetrain dynamic properties, e.g. eigenvalues, and torsional model parameters. The applications of this model in prediction of gearbox remaining useful lifetime is discussed. The proposed method is computationally fast, and can be implemented by integrating with the current turbine control and monitoring system without a need for a new system and sensors installation. A test case, using 5 MW reference drivetrain, has been demonstrated.

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Forschung auf dem Gebiet des Ingenieurwesens A

Tập 85 Số 2

273-286

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