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Prognosis of degradation based on a new dynamic method for remaining useful life prediction

Nabil Laayouj (Laboratory of Industrial Engineering and Computer Science (LGII), National School of Applied Sciences Agadir, Agadir, Morocco)
Hicham Jamouli (Laboratory of Industrial Engineering and Computer Science (LGII), National School of Applied Sciences Ibn Zohr University Agadir, Agadir, Morocco)

Journal of Quality in Maintenance Engineering

ISSN: 1355-2511

Article publication date: 8 May 2017

Abstract

Purpose

The purpose of this paper is to create a new method of prognosis based on remaining useful life (RUL) prediction for degradation assessment.

Design/methodology/approach

In the present paper the authors describe a new method of prognosis to improve the accuracy of forecasting the system state. This framework of forecasting integrates the model-based information and the hybrid approach, which employs the structured residuals in the first part and the particle filter in the second part.

Findings

The performance of the suggested fusion framework is employed to predict the RUL of battery pack in hybrid electric vehicle. The results show that the proposed method is plausible due to the good prediction of RUL, and can be effectively applied to many systems for prognosis.

Originality/value

In this study the authors illustrate how the suggested method can provide an accurate prediction of the RUL over conventional data-driven methods without physical model and classical particle filter with a single damage model.

Keywords

Citation

Laayouj, N. and Jamouli, H. (2017), "Prognosis of degradation based on a new dynamic method for remaining useful life prediction", Journal of Quality in Maintenance Engineering, Vol. 23 No. 2, pp. 239-255. https://doi.org/10.1108/JQME-03-2016-0012

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited