Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model
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 d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87003/1/Optimization%20and%20selection%20of%20maintenance%20policies%20in%20an%20electrical.pdf |
| _version_ | 1825952301717651456 |
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| author | Alrifaey, Moath Hong, Tang Sai As'arry, Azizan Supeni, Eris Elianddy Ang, Chun Kit |
| author_facet | Alrifaey, Moath Hong, Tang Sai As'arry, Azizan Supeni, Eris Elianddy Ang, Chun Kit |
| author_sort | Alrifaey, Moath |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T10:42:53Z |
| format | Article |
| id | upm.eprints-87003 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:42:53Z |
| publishDate | 2020 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | upm.eprints-870032022-01-10T08:06:11Z http://psasir.upm.edu.my/id/eprint/87003/ Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model Alrifaey, Moath Hong, Tang Sai As'arry, Azizan Supeni, Eris Elianddy Ang, Chun Kit 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. Multidisciplinary Digital Publishing Institute 2020-06-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87003/1/Optimization%20and%20selection%20of%20maintenance%20policies%20in%20an%20electrical.pdf Alrifaey, Moath and Hong, Tang Sai and As'arry, Azizan and Supeni, Eris Elianddy and Ang, Chun Kit (2020) Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model. Processes, 8 (6). pp. 1-25. ISSN 2227-9717 https://www.mdpi.com/2227-9717/8/6/670 10.3390/pr8060670 |
| spellingShingle | Alrifaey, Moath Hong, Tang Sai As'arry, Azizan Supeni, Eris Elianddy Ang, Chun Kit Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model |
| title | Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model |
| title_full | Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model |
| title_fullStr | Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model |
| title_full_unstemmed | Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model |
| title_short | Optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability-centered maintenance (RCM) model |
| title_sort | optimization and selection of maintenance policies in an electrical gas turbine generator based on the hybrid reliability centered maintenance rcm model |
| url | http://psasir.upm.edu.my/id/eprint/87003/1/Optimization%20and%20selection%20of%20maintenance%20policies%20in%20an%20electrical.pdf |
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