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A New Two-Dimensional Condition-Based Maintenance Model by Using Copulas

  • Hanyang Wang
  • , Ming Luo*
  • , Fengshou Gu
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Abstract

    This paper introduces a new two-dimensional condition-based maintenance model for complex and repairable machining systems like computer numerical control machining tools. A joint distribution of condition and reliability indicators is constructed by using copula. The maintenance threshold is set on the cumulative hazard rate conditioning on intensity of work. A numeric example with assumed settings is provide to demonstrate the relationship between the maintenance threshold and expected cost rate. This is the first model jointly considering condition and reliability indicators in maintenance area; and being benefited by the features of copula, this model can be easily extended to model dependences among multiple indicators in practice.

    Original languageEnglish
    Title of host publicationProceedings of IncoME-VI and TEPEN 2021 - Performance Engineering and Maintenance Engineering
    EditorsHao Zhang, Guojin Feng, Hongjun Wang, Fengshou Gu, Jyoti K. Sinha
    PublisherSpringer Science and Business Media B.V.
    Pages907-920
    Number of pages14
    ISBN (Print)9783030990749
    DOIs
    Publication statusPublished - 2023
    Event6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021 - Tianjin, China
    Duration: 20 Oct 202123 Oct 2021

    Publication series

    NameMechanisms and Machine Science
    Volume117
    ISSN (Print)2211-0984
    ISSN (Electronic)2211-0992

    Conference

    Conference6th International Conference on Maintenance Engineering, IncoME-VI and the Conference of the Efficiency and Performance Engineering Network, TEPEN 2021
    Country/TerritoryChina
    CityTianjin
    Period20/10/2123/10/21

    Bibliographical note

    Publisher Copyright:
    © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

    Keywords

    • CNC
    • Condition-based maintenance
    • Conditional hazard rate
    • Copula
    • Data-driven maintenance
    • Expected cost rate
    • Two-dimensional maintenance

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