Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies
This paper presents an investigation of the condition state distribution and performance condition curve of the transformer population under different pre-determined maintenance repair rates based on the Markov Prediction Model (MPM). In total, 3195 oil samples from 373 transformers with an age betw...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/15371/1/15371.pdf |
| _version_ | 1796968834952855552 |
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| author | Yahaya, Muhammad Sharil Azis, Norhafiz Mohd Selva, Amran Ab Kadir, Mohd Zainal Abidin Jasni, Jasronita Hairi, Mohd Hendra Yang Ghazali, Young Zaidey Talib, Mohd Aizam |
| author_facet | Yahaya, Muhammad Sharil Azis, Norhafiz Mohd Selva, Amran Ab Kadir, Mohd Zainal Abidin Jasni, Jasronita Hairi, Mohd Hendra Yang Ghazali, Young Zaidey Talib, Mohd Aizam |
| author_sort | Yahaya, Muhammad Sharil |
| collection | UPM |
| description | This paper presents an investigation of the condition state distribution and performance condition curve of the transformer population under different pre-determined maintenance repair rates based on the Markov Prediction Model (MPM). In total, 3195 oil samples from 373 transformers with an age between one and 25 years were tested. The previously computed Health Index (HI) prediction model of the transformer population based on MPM utilizing the nonlinear minimization technique was employed in this study. The transition probabilities for each of the states were updated based on 10%, 20% and 30% pre-determined maintenance repair rates for the sensitivity study. Next, the HI state distribution and performance condition curve were analyzed based on the Markov chain algorithm. Based on the case study, it is found that the pre-determined maintenance repair rates can affect the HI state distribution and improve the performance condition curve. The 30% pre-determined maintenance repair rate gives the highest impact, especially for the transformer population at state 4 (poor). Overall, the average percentage of change for all HI state distributions is 16.48%. A clear improvement of HI state distribution is found at state 4 (poor) where the highest percentage can be up to 63.25%. |
| first_indexed | 2024-03-06T07:34:09Z |
| format | Article |
| id | upm.eprints-15371 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:34:09Z |
| publishDate | 2018 |
| publisher | MDPI |
| record_format | dspace |
| spelling | upm.eprints-153712019-07-08T07:30:58Z http://psasir.upm.edu.my/id/eprint/15371/ Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies Yahaya, Muhammad Sharil Azis, Norhafiz Mohd Selva, Amran Ab Kadir, Mohd Zainal Abidin Jasni, Jasronita Hairi, Mohd Hendra Yang Ghazali, Young Zaidey Talib, Mohd Aizam This paper presents an investigation of the condition state distribution and performance condition curve of the transformer population under different pre-determined maintenance repair rates based on the Markov Prediction Model (MPM). In total, 3195 oil samples from 373 transformers with an age between one and 25 years were tested. The previously computed Health Index (HI) prediction model of the transformer population based on MPM utilizing the nonlinear minimization technique was employed in this study. The transition probabilities for each of the states were updated based on 10%, 20% and 30% pre-determined maintenance repair rates for the sensitivity study. Next, the HI state distribution and performance condition curve were analyzed based on the Markov chain algorithm. Based on the case study, it is found that the pre-determined maintenance repair rates can affect the HI state distribution and improve the performance condition curve. The 30% pre-determined maintenance repair rate gives the highest impact, especially for the transformer population at state 4 (poor). Overall, the average percentage of change for all HI state distributions is 16.48%. A clear improvement of HI state distribution is found at state 4 (poor) where the highest percentage can be up to 63.25%. MDPI 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/15371/1/15371.pdf Yahaya, Muhammad Sharil and Azis, Norhafiz and Mohd Selva, Amran and Ab Kadir, Mohd Zainal Abidin and Jasni, Jasronita and Hairi, Mohd Hendra and Yang Ghazali, Young Zaidey and Talib, Mohd Aizam (2018) Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies. Sustainability, 10 (10). art. no. 3399. pp. 1-13. ISSN 2071-1050 https://www.mdpi.com/2071-1050/10/10/3399 10.3390/su10103399 |
| spellingShingle | Yahaya, Muhammad Sharil Azis, Norhafiz Mohd Selva, Amran Ab Kadir, Mohd Zainal Abidin Jasni, Jasronita Hairi, Mohd Hendra Yang Ghazali, Young Zaidey Talib, Mohd Aizam Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies |
| title | Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies |
| title_full | Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies |
| title_fullStr | Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies |
| title_full_unstemmed | Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies |
| title_short | Effect of pre-determined maintenance repair rates on the health index state distribution and performance condition curve based on the Markov prediction model for sustainable transformers asset management strategies |
| title_sort | effect of pre determined maintenance repair rates on the health index state distribution and performance condition curve based on the markov prediction model for sustainable transformers asset management strategies |
| url | http://psasir.upm.edu.my/id/eprint/15371/1/15371.pdf |
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