A Review of the Essential Elements Linked with the Adoption of Condition-Based Maintenance

Baglee, David, Jantunen, Erkki and Bravo-Imaz, Iňaki (2016) A Review of the Essential Elements Linked with the Adoption of Condition-Based Maintenance. International Journal of Process Management and Benchmarking, 6 (2). pp. 258-272. ISSN 1460-6739

Final accepted Baglee.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (160kB) | Preview

Search Google Scholar


This paper empirically examines the relationship between the failure patterns observed in industry and the potential benefits to the introduction of a condition-based maintenance (CBM) strategy. Industry appears to often misunderstand this relationship although for an informed decision the correct recording and analyses of failure data is important. Publicly available relevant data of wear are, at best, limited. A large number of academic and industrial papers are available which compare the efficiency of various maintenance strategies within a range of different industries. However, the conclusions clearly state that: 1) they are large differences between various industrial sectors; 2) the relationship between data analyses and maintenance strategy development is, at best, limited. Wherever such data collection mechanisms are not in place, maintenance decisions rely mostly on intuition and expert views. This paper suggests the importance of further supporting such investments by appropriately addressing the need to collect relevant data as a basis upon which to make development and efficient and effective maintenance strategy.

Item Type: Article
Subjects: Computing
Divisions: Faculty of Technology
Faculty of Technology > School of Engineering
Depositing User: Paula Normington
Date Deposited: 19 Oct 2015 12:25
Last Modified: 27 Nov 2020 12:15
URI: http://sure.sunderland.ac.uk/id/eprint/5613
ORCID for David Baglee: ORCID iD orcid.org/0000-0002-7335-5609

Actions (login required)

View Item View Item


Downloads per month over past year