Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model
This work investigates the state distributions of failure rate, performance curve, maintenance cost and preventive frequency of the transformer population through the Markov Model (MM). The condition parameters data of the oil samples known as Oil Quality Analysis (OQA), Dissolved Gas Analysis (DG...
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Universiti Putra Malaysia Press
2022
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Online Access: | http://eprints.utem.edu.my/id/eprint/27033/2/0119608032023.PDF http://eprints.utem.edu.my/id/eprint/27033/ http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-3329-2021 |
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my.utem.eprints.270332024-01-16T10:39:11Z http://eprints.utem.edu.my/id/eprint/27033/ Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model Azis, Norhafiz Yahaya, Muhammad Sharil Shariffuddin, Nor Shafiqin Jasni, Jasronita Ab Kadir, Mohd Zainal Abidin Talib, Mohd Aizam This work investigates the state distributions of failure rate, performance curve, maintenance cost and preventive frequency of the transformer population through the Markov Model (MM). The condition parameters data of the oil samples known as Oil Quality Analysis (OQA), Dissolved Gas Analysis (DGA), Furanic Compounds Analysis (FCA) and age were analyzed from 370 distribution transformers. This work utilized the computed failure rate prediction model of the transformer population based on MM using the nonlinear minimization technique. First, the transition probabilities for each state were adjusted based on pre-determined maintenance repair rates of 10%, 20%, and 30%. Next, the failure rate state distributions and performance curves at various states were analyzed. Finally, the maintenance costs and preventive maintenance frequency were estimated utilizing the proposed maintenance policy models and the failure rate state probabilities. The result reveals that the transition from state 2 to state 1 with a 30% pre-determined maintenance repair rate can provide an average reduction of failure rate up to 11%. Based on the failure rate state probability, an average increment of maintenance cost from RM 18.32 million to RM 251.87 million will be incurred over 30 years. In total, 85% of the transformer population must undergo maintenance every nine months to avoid reaching very poor conditions. Universiti Putra Malaysia Press 2022 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27033/2/0119608032023.PDF Azis, Norhafiz and Yahaya, Muhammad Sharil and Shariffuddin, Nor Shafiqin and Jasni, Jasronita and Ab Kadir, Mohd Zainal Abidin and Talib, Mohd Aizam (2022) Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model. Pertanika Journal of Science and Technology, 30 (4). pp. 2879-2902. ISSN 0128-7680 http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-3329-2021 10.47836/pjst.30.4.31 |
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This work investigates the state distributions of failure rate, performance curve, maintenance cost and preventive frequency of the transformer population through the
Markov Model (MM). The condition parameters data of the oil samples known as Oil Quality Analysis (OQA), Dissolved Gas Analysis (DGA), Furanic Compounds Analysis (FCA) and age were analyzed from 370 distribution transformers. This work utilized the computed failure rate prediction model of
the transformer population based on MM using the nonlinear minimization technique. First, the transition probabilities for each state were adjusted based on pre-determined
maintenance repair rates of 10%, 20%, and 30%. Next, the failure rate state distributions and performance curves at various states were analyzed. Finally, the maintenance
costs and preventive maintenance frequency were estimated utilizing the proposed maintenance policy models and the failure rate state probabilities. The result reveals that the transition from state 2 to state 1 with a 30% pre-determined maintenance repair rate can provide an average reduction of failure rate up to 11%. Based on the failure rate state probability, an average increment of maintenance cost from RM 18.32 million to RM 251.87 million will be incurred over 30 years. In total, 85% of the transformer population must undergo maintenance every nine months to avoid reaching very poor conditions. |
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Azis, Norhafiz Yahaya, Muhammad Sharil Shariffuddin, Nor Shafiqin Jasni, Jasronita Ab Kadir, Mohd Zainal Abidin Talib, Mohd Aizam |
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Azis, Norhafiz Yahaya, Muhammad Sharil Shariffuddin, Nor Shafiqin Jasni, Jasronita Ab Kadir, Mohd Zainal Abidin Talib, Mohd Aizam Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
author_facet |
Azis, Norhafiz Yahaya, Muhammad Sharil Shariffuddin, Nor Shafiqin Jasni, Jasronita Ab Kadir, Mohd Zainal Abidin Talib, Mohd Aizam |
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Azis, Norhafiz |
title |
Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
title_short |
Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
title_full |
Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
title_fullStr |
Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
title_full_unstemmed |
Transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
title_sort |
transformer population failure rate state distribution, maintenance cost and preventive frequency study based on markov model |
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Universiti Putra Malaysia Press |
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2022 |
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http://eprints.utem.edu.my/id/eprint/27033/2/0119608032023.PDF http://eprints.utem.edu.my/id/eprint/27033/ http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-3329-2021 |
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