Dynamic Maintenance based on Functional Usage Profiles (2024)

Abstract

Purpose: For many decades, it has been recognized that maintenance activities should be adapted to the specific usage of a system. For that reason, many advanced policies have been developed, such as condition-based and load-based maintenance policies. However, these policies require advanced monitoring techniques and rather detailed understanding of the failure behavior, which requires the support of an OEM or expert, prohibiting application by an operator in many cases. The present work proposes a maintenance policy that relieves the high (technical) demands set by these existing policies and provides a more accurate specification of the required (dynamic) maintenance interval than traditional usage-based maintenance. Design/methodology/approach: The methodology followed starts with a review and critical assessment of existing maintenance policies, which are classified according to six different aspects. Based on the need for a technically less demanding policy that appears from this comparison, a new policy is developed. The consecutive steps required for this functional usage profiles based maintenance policy are then critically discussed: usage profile definition, monitoring, profile severity quantification and the possible extension to the fleet level. After the description of the proposed policy, it is demonstrated in three case studies on real systems. Findings: A maintenance policy based on a simple usage registration procedure appears to be feasible, which enables a significantly more efficient maintenance process than the traditional usage-based policies. This is demonstrated by the policy proposed here. Practical implications: The proposed maintenance policy based on functional usage profiles offers the operators of fleets of systems the opportunity to increase the efficiency and effectiveness of their maintenance process, without the need for a high investment in advanced monitoring systems and in experts interpreting the results. Originality/value: The original contribution of this work is the explicit definition of a new maintenance policy, which combines the benefits of considering the effects of usage or environment severity with a limited investment in monitoring technology.

Original languageEnglish
Pages (from-to)21-42
Number of pages22
JournalJournal of quality in maintenance engineering
Volume27
Issue number1
Early online date23 Jul 2020
DOIs
Publication statusPublished - 16 Feb 2021

Keywords

  • UT-Hybrid-D
  • Maintenance policy
  • Usage profile
  • Predictive maintenance

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    Tinga, T., Wubben, F., Tiddens, W., Wortmann, H., & Gaalman, G. (2021). Dynamic Maintenance based on Functional Usage Profiles. Journal of quality in maintenance engineering, 27(1), 21-42. https://doi.org/10.1108/JQME-01-2019-0002

    Tinga, Tiedo ; Wubben, Flip ; Tiddens, Wieger et al. / Dynamic Maintenance based on Functional Usage Profiles. In: Journal of quality in maintenance engineering. 2021 ; Vol. 27, No. 1. pp. 21-42.

    @article{1b69841a82454e45b0322665f36caa95,

    title = "Dynamic Maintenance based on Functional Usage Profiles",

    abstract = "Purpose: For many decades, it has been recognized that maintenance activities should be adapted to the specific usage of a system. For that reason, many advanced policies have been developed, such as condition-based and load-based maintenance policies. However, these policies require advanced monitoring techniques and rather detailed understanding of the failure behavior, which requires the support of an OEM or expert, prohibiting application by an operator in many cases. The present work proposes a maintenance policy that relieves the high (technical) demands set by these existing policies and provides a more accurate specification of the required (dynamic) maintenance interval than traditional usage-based maintenance. Design/methodology/approach: The methodology followed starts with a review and critical assessment of existing maintenance policies, which are classified according to six different aspects. Based on the need for a technically less demanding policy that appears from this comparison, a new policy is developed. The consecutive steps required for this functional usage profiles based maintenance policy are then critically discussed: usage profile definition, monitoring, profile severity quantification and the possible extension to the fleet level. After the description of the proposed policy, it is demonstrated in three case studies on real systems. Findings: A maintenance policy based on a simple usage registration procedure appears to be feasible, which enables a significantly more efficient maintenance process than the traditional usage-based policies. This is demonstrated by the policy proposed here. Practical implications: The proposed maintenance policy based on functional usage profiles offers the operators of fleets of systems the opportunity to increase the efficiency and effectiveness of their maintenance process, without the need for a high investment in advanced monitoring systems and in experts interpreting the results. Originality/value: The original contribution of this work is the explicit definition of a new maintenance policy, which combines the benefits of considering the effects of usage or environment severity with a limited investment in monitoring technology.",

    keywords = "UT-Hybrid-D, Maintenance policy, Usage profile, Predictive maintenance",

    author = "Tiedo Tinga and Flip Wubben and Wieger Tiddens and Hans Wortmann and Gerard Gaalman",

    note = "Emerald deal 29 jan 2020: publisher has requested to remove full text prior to publication of the paper in the journal 24 juli 2020: paper has been published (ahead of print)",

    year = "2021",

    month = feb,

    day = "16",

    doi = "10.1108/JQME-01-2019-0002",

    language = "English",

    volume = "27",

    pages = "21--42",

    journal = "Journal of quality in maintenance engineering",

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    }

    Tinga, T, Wubben, F, Tiddens, W, Wortmann, H & Gaalman, G 2021, 'Dynamic Maintenance based on Functional Usage Profiles', Journal of quality in maintenance engineering, vol. 27, no. 1, pp. 21-42. https://doi.org/10.1108/JQME-01-2019-0002

    Dynamic Maintenance based on Functional Usage Profiles. / Tinga, Tiedo ; Wubben, Flip; Tiddens, Wieger et al.
    In: Journal of quality in maintenance engineering, Vol. 27, No. 1, 16.02.2021, p. 21-42.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - Dynamic Maintenance based on Functional Usage Profiles

    AU - Tinga, Tiedo

    AU - Wubben, Flip

    AU - Tiddens, Wieger

    AU - Wortmann, Hans

    AU - Gaalman, Gerard

    N1 - Emerald deal29 jan 2020: publisher has requested to remove full text prior to publication of the paper in the journal24 juli 2020: paper has been published (ahead of print)

    PY - 2021/2/16

    Y1 - 2021/2/16

    N2 - Purpose: For many decades, it has been recognized that maintenance activities should be adapted to the specific usage of a system. For that reason, many advanced policies have been developed, such as condition-based and load-based maintenance policies. However, these policies require advanced monitoring techniques and rather detailed understanding of the failure behavior, which requires the support of an OEM or expert, prohibiting application by an operator in many cases. The present work proposes a maintenance policy that relieves the high (technical) demands set by these existing policies and provides a more accurate specification of the required (dynamic) maintenance interval than traditional usage-based maintenance. Design/methodology/approach: The methodology followed starts with a review and critical assessment of existing maintenance policies, which are classified according to six different aspects. Based on the need for a technically less demanding policy that appears from this comparison, a new policy is developed. The consecutive steps required for this functional usage profiles based maintenance policy are then critically discussed: usage profile definition, monitoring, profile severity quantification and the possible extension to the fleet level. After the description of the proposed policy, it is demonstrated in three case studies on real systems. Findings: A maintenance policy based on a simple usage registration procedure appears to be feasible, which enables a significantly more efficient maintenance process than the traditional usage-based policies. This is demonstrated by the policy proposed here. Practical implications: The proposed maintenance policy based on functional usage profiles offers the operators of fleets of systems the opportunity to increase the efficiency and effectiveness of their maintenance process, without the need for a high investment in advanced monitoring systems and in experts interpreting the results. Originality/value: The original contribution of this work is the explicit definition of a new maintenance policy, which combines the benefits of considering the effects of usage or environment severity with a limited investment in monitoring technology.

    AB - Purpose: For many decades, it has been recognized that maintenance activities should be adapted to the specific usage of a system. For that reason, many advanced policies have been developed, such as condition-based and load-based maintenance policies. However, these policies require advanced monitoring techniques and rather detailed understanding of the failure behavior, which requires the support of an OEM or expert, prohibiting application by an operator in many cases. The present work proposes a maintenance policy that relieves the high (technical) demands set by these existing policies and provides a more accurate specification of the required (dynamic) maintenance interval than traditional usage-based maintenance. Design/methodology/approach: The methodology followed starts with a review and critical assessment of existing maintenance policies, which are classified according to six different aspects. Based on the need for a technically less demanding policy that appears from this comparison, a new policy is developed. The consecutive steps required for this functional usage profiles based maintenance policy are then critically discussed: usage profile definition, monitoring, profile severity quantification and the possible extension to the fleet level. After the description of the proposed policy, it is demonstrated in three case studies on real systems. Findings: A maintenance policy based on a simple usage registration procedure appears to be feasible, which enables a significantly more efficient maintenance process than the traditional usage-based policies. This is demonstrated by the policy proposed here. Practical implications: The proposed maintenance policy based on functional usage profiles offers the operators of fleets of systems the opportunity to increase the efficiency and effectiveness of their maintenance process, without the need for a high investment in advanced monitoring systems and in experts interpreting the results. Originality/value: The original contribution of this work is the explicit definition of a new maintenance policy, which combines the benefits of considering the effects of usage or environment severity with a limited investment in monitoring technology.

    KW - UT-Hybrid-D

    KW - Maintenance policy

    KW - Usage profile

    KW - Predictive maintenance

    UR - http://www.scopus.com/inward/record.url?scp=85088574409&partnerID=8YFLogxK

    U2 - 10.1108/JQME-01-2019-0002

    DO - 10.1108/JQME-01-2019-0002

    M3 - Article

    SN - 1355-2511

    VL - 27

    SP - 21

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    JO - Journal of quality in maintenance engineering

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    Tinga T, Wubben F, Tiddens W, Wortmann H, Gaalman G. Dynamic Maintenance based on Functional Usage Profiles. Journal of quality in maintenance engineering. 2021 Feb 16;27(1):21-42. Epub 2020 Jul 23. doi: 10.1108/JQME-01-2019-0002

    Dynamic Maintenance based on Functional Usage Profiles (2024)

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