A survey of models of degradation for control applications

Review (2020)
Author(s)

Marta Zagorowska (Imperial College London)

Ouyang Wu (Norwegian University of Science and Technology (NTNU), Hamburg University of Applied Sciences, BASF SE)

James R. Ottewill (Hitachi ABB Power Grids Research)

Marcus Reble (BASF SE)

Nina F. Thornhill (Imperial College London)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.arcontrol.2020.08.002
More Info
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Publication Year
2020
Language
English
Affiliation
External organisation
Volume number
50
Pages (from-to)
150-173

Abstract

The analysis of equipment degradation has traditionally developed in two main directions. One approach, of great interest for control system design, has been to consider that degradation causes fundamental changes to the behaviour of a system. Another approach, used in optimal maintenance planning and production scheduling, considers degradation as a separate process that affects performance but does not necessarily change the behaviour. This article provides a review of mathematical models of degradation that will facilitate the integration of degradation modelling into control and optimisation schemes. To this end, a new unified classification is proposed. It takes into account the influence of degradation on the behaviour of the system, as well as the factors influencing degradation. Understanding these mutual influences will enable improved optimization, design and operation of control systems. The flexibility of the proposed classification is demonstrated in an industrial application to a multi-product batch scheduling process.

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