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A framework for identification of maintenance significant items in reliability centered maintenance

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  • Tang, Yang
  • Liu, Qingyou
  • Jing, Jiajia
  • Yang, Yan
  • Zou, Zhengwei

Abstract

Identification of Maintenance Significant Items (MSI) is one of the key phases of the Reliability Centered Maintenance (RCM), which is a screening phase where the number of items for analysis is reduced. But at present, there is little systematic and convenient operation method to identify the MSI. In this paper, we presented a framework for identification of the MSI through combination of quantitative analysis with qualitative analysis. Firstly, we screened out part of non-MSI through the first screening which defines a system boundary, set up a system hierarchy tree and do a Risk Analysis (RA) of a 2th order risk matrix. And secondly, we omitted another part non-MSI in the second screening which carried out a Failure Mode and Effects Analysis (FMEA) and do a RA based on a 5th order risk matrix. Moreover, we carried on a quantitative analysis by establishing evaluation indexes and scoring standard of the MSI based on the Analytic Hierarchy Process (AHP) and Fuzzy Borda Count method (FBC). Finally, we completed a case study about the drilling pump to prove the feasibility and practicality of the method. This study is helpful for the applicable and effective Preventive Maintenance (PM) tasks.

Suggested Citation

  • Tang, Yang & Liu, Qingyou & Jing, Jiajia & Yang, Yan & Zou, Zhengwei, 2017. "A framework for identification of maintenance significant items in reliability centered maintenance," Energy, Elsevier, vol. 118(C), pages 1295-1303.
  • Handle: RePEc:eee:energy:v:118:y:2017:i:c:p:1295-1303
    DOI: 10.1016/j.energy.2016.11.011
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    References listed on IDEAS

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    Cited by:

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    2. Afzali, Peyman & Keynia, Farshid & Rashidinejad, Masoud, 2019. "A new model for reliability-centered maintenance prioritisation of distribution feeders," Energy, Elsevier, vol. 171(C), pages 701-709.
    3. Andrés A. Zúñiga & Alexandre Baleia & João Fernandes & Paulo Jose Da Costa Branco, 2020. "Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems," Energies, MDPI, vol. 13(5), pages 1-26, March.
    4. Adherbal Caminada Netto & Arthur Henrique de Andrade Melani & Carlos Alberto Murad & Miguel Angelo de Carvalho Michalski & Gilberto Francisco Martha de Souza & Silvio Ikuyo Nabeta, 2020. "A Novel Approach to Defining Maintenance Significant Items: A Hydro Generator Case Study," Energies, MDPI, vol. 13(23), pages 1-20, November.

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