A survey of models of degradation for control applications
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Published version
Author(s)
Zagorowska, Marta
Wu, Ouyang
Ottewill, James R
Reble, Marcus
Thornhill, Nina F
Type
Journal Article
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.
Date Issued
2020-10-14
Date Acceptance
2020-08-20
Citation
Annual Reviews in Control, 2020, 50, pp.150-173
ISSN
1367-5788
Publisher
Elsevier
Start Page
150
End Page
173
Journal / Book Title
Annual Reviews in Control
Volume
50
Copyright Statement
© 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
License URL
Sponsor
Commission of the European Communities
ABB Switzerland Ltd.
ABB Switzerland Ltd.
Identifier
https://doi.org/10.1016/j.arcontrol.2020.08.002
Grant Number
675215
N/A
N/A
Subjects
Industrial Engineering & Automation
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2020-10-14