A review of the essential elements linked with the adoption of condition-based maintenance

David Baglee, Erkki Jantunen, Inaki Bravo

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    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 and (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.
    Original languageEnglish
    Pages (from-to)258-272
    JournalInternational Journal of Process Management and Benchmarking
    Volume6
    Issue number2
    DOIs
    Publication statusPublished - 2016
    MoE publication typeA1 Journal article-refereed

    Keywords

    • wear of machinery components
    • wear model
    • wear statistics
    • condition monitoring
    • condition-based maintenance
    • CBM

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