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Multi-component modeling and classification for failure propagation of an offshore wind turbine

Fatima Souad Bezzaoucha (LabRI Laboratory Ecole Supérieure en Informatique, Sidi Bel Abbes, Algeria)
M’hammed Sahnoun (CESI Group, LINEACT Laboratory, Saint-Étienne-du-Rouvray, France)
Sidi Mohamed Benslimane (LabRI Laboratory Ecole Supérieure en Informatique, Sidi Bel Abbes, Algeria)

International Journal of Energy Sector Management

ISSN: 1750-6220

Article publication date: 26 August 2020

Issue publication date: 10 March 2021

186

Abstract

Purpose

Improving reliability is a key factor in reducing the cost of wind energy, which is strongly influenced by the cost of maintenance operations. In this context, this paper aims to propose a degradation model that describes the phenomenon of fault propagation to apply proactive maintenance that will act on the cause of failure to prevent its reoccurrence as well as to improve future system designs.

Design/methodology/approach

The methodology adopted consists in identifying the different components of a wind turbine, their causes and failure modes, and then, classifying these components according to their causes of failure.

Findings

The result is a classification of the different components of a wind turbine according to their failure causes. From the obtained classification, the authors observed that the failure modes for one component are a failure cause for another component, which describes the phenomenon of failure propagation.

Originality/value

The different classifications existing in the literature depend on the nature, position and function of the different components. The classification of this study consists in grouping the components of a wind turbine according to their failure causes to develop a degradation model considering the propagation of failure in the field of wind turbines.

Keywords

Citation

Bezzaoucha, F.S., Sahnoun, M. and Benslimane, S.M. (2021), "Multi-component modeling and classification for failure propagation of an offshore wind turbine", International Journal of Energy Sector Management, Vol. 15 No. 2, pp. 397-420. https://doi.org/10.1108/IJESM-10-2019-0020

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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