Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Condition-based maintenance for a two-component system with dependencies

Do, Phuc, Scarf, Phil and Lung, Benoi 2015. Condition-based maintenance for a two-component system with dependencies. Presented at: 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2015), Paris, France, 2-4 September 2015. IFAC-PapersOnLine. , vol.48 (21) pp. 946-951. 10.1016/j.ifacol.2015.09.648

[thumbnail of Condition-based maintenance for a two-component system with dependencies.pdf]
Preview
PDF - Published Version
Download (448kB) | Preview

Abstract

The paper deals with a condition-based maintenance policy for a two-component system with dependencies. Two kinds of dependency are investigated. The first is state dependence whereby the deterioration speed of each component depends not only on its own state (deterioration level) but also on the state of the other. The second is economic dependence whereby combining maintenance activities is cheaper than performing maintenance on components separately. To select a component/group of components to be preventively maintained, adaptive preventive maintenance and opportunistic maintenance rules are proposed. A cost model is developed to find the optimal value of decision parameters. A numerical example is introduced to illustrate the use and the advantages of the proposed approach in the maintenance optimization framework.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Business (Including Economics)
ISSN: 2405-8963
Date of First Compliant Deposit: 7 December 2020
Date of Acceptance: 30 June 2015
Last Modified: 09 Dec 2020 14:45
URI: https://orca.cardiff.ac.uk/id/eprint/136870

Citation Data

Cited 23 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics