A survey of models of degradation for control applications

Marta Zagorowska, Ouyang Wu, James R. Ottewill, Marcus Reble, Nina F. Thornhill

Research output: Contribution to journalReview articlepeer-review

29 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)150-173
Number of pages24
JournalAnnual Reviews in Control
Volume50
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • Condition monitoring
  • Control
  • Degradation
  • Fault detection
  • Modelling
  • Optimization

Fingerprint

Dive into the research topics of 'A survey of models of degradation for control applications'. Together they form a unique fingerprint.

Cite this