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A Novel Approach to Defining Maintenance Significant Items: A Hydro Generator Case Study

Author

Listed:
  • Adherbal Caminada Netto

    (Department of Mechatronics and Mechanical Systems, University of São Paulo, Avenida Professor Mello de Moraes 2231, São Paulo 05508-030, SP, Brazil)

  • Arthur Henrique de Andrade Melani

    (Department of Mechatronics and Mechanical Systems, University of São Paulo, Avenida Professor Mello de Moraes 2231, São Paulo 05508-030, SP, Brazil)

  • Carlos Alberto Murad

    (Department of Mechatronics and Mechanical Systems, University of São Paulo, Avenida Professor Mello de Moraes 2231, São Paulo 05508-030, SP, Brazil)

  • Miguel Angelo de Carvalho Michalski

    (Department of Mechatronics and Mechanical Systems, University of São Paulo, Avenida Professor Mello de Moraes 2231, São Paulo 05508-030, SP, Brazil)

  • Gilberto Francisco Martha de Souza

    (Department of Mechatronics and Mechanical Systems, University of São Paulo, Avenida Professor Mello de Moraes 2231, São Paulo 05508-030, SP, Brazil)

  • Silvio Ikuyo Nabeta

    (Department of Energy and Electrical Automation, University of São Paulo, Aavenida Professor Luciano Gualberto, Travessa 3, 158, São Paulo 05508-010, SP, Brazil)

Abstract

The operation and maintenance of industrial plants constitute a major concern among managers, scientists, and engineers. To allow the prioritization of maintenance actions for improved continuous equipment operation, this paper presents a novel method focused on identifying the most critical components of a plant’s systems. In a complex engineering approach, this method uses tools and techniques borrowed from several fields of knowledge, including an innovative technique devised by the authors, as well as a multi-criteria decision method in the criticality determination process. To illustrate the method, a case study is presented considering a 150 MW Kaplan hydro generator from a hydroelectric power plant located in the north of Brazil. An uncertainty analysis is presented, considering variations in the scores of each criterion, to verify the robustness of the proposed method. The results show that the method responds in a solid and structured way, allowing decision making from qualitative and quantitative data and eliciting the opinion of experts on the factors that can affect the degradation of the performance of a system. In addition, the method’s robustness is confirmed since the uncertainty propagation related to the criteria scores is small for the items classified as most significant from its application.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6273-:d:452657
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    References listed on IDEAS

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    1. Eti, M.C. & Ogaji, S.O.T. & Probert, S.D., 2006. "Reducing the cost of preventive maintenance (PM) through adopting a proactive reliability-focused culture," Applied Energy, Elsevier, vol. 83(11), pages 1235-1248, November.
    2. Cheng, Zhonghua & Jia, Xisheng & Gao, Ping & Wu, Su & Wang, Jianzhao, 2008. "A framework for intelligent reliability centered maintenance analysis," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 806-814.
    3. 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.
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    5. Niu, Gang & Yang, Bo-Suk & Pecht, Michael, 2010. "Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 786-796.
    6. Melani, Arthur Henrique Andrade & Murad, Carlos Alberto & Caminada Netto, Adherbal & Souza, Gilberto Francisco Martha de & Nabeta, Silvio Ikuyo, 2018. "Criticality-based maintenance of a coal-fired power plant," Energy, Elsevier, vol. 147(C), pages 767-781.
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