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

Adherbal Caminada Netto, Arthur Henrique de Andrade Melani, Carlos Alberto Murad, Miguel Angelo de Carvalho Michalski, Gilberto Francisco Martha de Souza and Silvio Ikuyo Nabeta
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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

Energies, 2020, vol. 13, issue 23, 1-20

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.

Keywords: maintenance significant items; OMCTA; FMSA; AHP; hydroelectric power plant (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:23:p:6273-:d:452657

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