Optimization and Selection of Maintenance Policies in an Electrical Gas Turbine Generator Based on the Hybrid Reliability-Centered Maintenance (RCM) Model Article Swipe
Moath Alrifaey
,
Tang Sai Hong
,
Azizan As’arry
,
Eris Elianddy Supeni
,
Chun Kit Ang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/pr8060670
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/pr8060670
The electrical generation industry is looking for techniques to precisely determine the proper maintenance policy and schedule of their assets. Reliability-centered maintenance (RCM) is a methodology for choosing what maintenance activities have to be performed to keep the asset working within its designed function. Current developments in RCM models are struggling to solve the drawbacks of traditional RCM with regards to optimization and strategy selection; for instance, traditional RCM handles each failure mode individually with a simple yes or no safety question in which question has the possibility of major error and missing the effect of a combinational failure mode. Hence, in the present study, a hybrid RCM model was proposed to fill these gaps and find the optimal maintenance policies and scheduling by a combination of hybrid linguistic-failure mode and effect analysis (HL-FMEA), the co-evolutionary multi-objective particle swarm optimization (CMPSO) algorithm, an analytic network process (ANP), and developed maintenance decision tree (DMDT). To demonstrate the effectiveness and efficiencies of the proposed RCM model, a case study on the maintenance of an electrical generator was conducted at a Yemeni oil and gas processing plant. The results confirm that, compared with previous studies, the proposed model gave the optimal maintenance policies and scheduling for the electrical generator in a well-structured plan, economically and effectively.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/pr8060670
- https://www.mdpi.com/2227-9717/8/6/670/pdf?version=1593309969
- OA Status
- gold
- Cited By
- 26
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3033998460
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3033998460Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/pr8060670Digital Object Identifier
- Title
-
Optimization and Selection of Maintenance Policies in an Electrical Gas Turbine Generator Based on the Hybrid Reliability-Centered Maintenance (RCM) ModelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-06-04Full publication date if available
- Authors
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Moath Alrifaey, Tang Sai Hong, Azizan As’arry, Eris Elianddy Supeni, Chun Kit AngList of authors in order
- Landing page
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https://doi.org/10.3390/pr8060670Publisher landing page
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https://www.mdpi.com/2227-9717/8/6/670/pdf?version=1593309969Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-9717/8/6/670/pdf?version=1593309969Direct OA link when available
- Concepts
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Reliability engineering, Particle swarm optimization, Scheduling (production processes), Schedule, Computer science, Reliability (semiconductor), Optimal maintenance, Engineering, Operations research, Operations management, Machine learning, Operating system, Quantum mechanics, Power (physics), PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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26Total citation count in OpenAlex
- Citations by year (recent)
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2025: 6, 2024: 5, 2023: 2, 2022: 7, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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