ENBIS-18 in Nancy
2 – 25 September 2018; Ecoles des Mines, Nancy (France)
Abstract submission: 20 December 2017 – 4 June 2018
RUL Prediction and Maintenance Police for Wind Turbine Component
4 September 2018, 09:40 – 10:00
- Submitted by
- Jinrui MA
- Jinrui Ma (University of technology of Troyes), Mitra Fouladirad (University of technology of Troyes), Antoine Grall (University of technology of Troyes)
- Due to the inherent characteristics of wind, the wind turbine operation is nonlinear and random. The wind turbine works in a various wind speed range and supports continuously changing stochastic loads. Hence the deterioration of wind turbine component can be considered as a stochastic process. Considering the influence of the wind speed in components deterioration, the location of wind farm and its accessibility maintenance operations are planned. The aim is to propose a predictive maintenance policy. Remaining Useful Lifetime predication of wind turbine component is the main key to this problem.
In this paper a flexible wind speed model is proposed to generate long-term continuous wind speed data using to simulate the real wind speed of a wind farm. A deterioration model considering the wind speed influence is proposed. A RUL prediction model which takes into account the stochastic deterioration and the future’s wind influence is studied. A predictive maintenance policy is proposed.
Return to programme