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

Abstract

Submitted by
Jinrui MA
Authors
Jinrui Ma (University of technology of Troyes), Mitra Fouladirad (University of technology of Troyes), Antoine Grall (University of technology of Troyes)
Abstract
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.
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