Application of markov model to estimate individual condition parameters for transformers
Carbon dioxide; Carbon monoxide; Electric breakdown; Ethylene; IEEE Standards; Markov processes; Nonlinear programming; Probability distributions; Statistical tests; Absolute error; Chi-square tests; Condition parameters; Condition-based monitoring; Markov model; Non-linear optimization; Parameter e...
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my.uniten.dspace-241762023-05-29T14:56:26Z Application of markov model to estimate individual condition parameters for transformers Selva A.M. Azis N. Yahaya M.S. Ab Kadir M.Z.A. Jasni J. Ghazali Y.Z.Y. Talib M.A. 57203742582 56120698200 36083783000 25947297000 25632671500 55336569600 36609320500 Carbon dioxide; Carbon monoxide; Electric breakdown; Ethylene; IEEE Standards; Markov processes; Nonlinear programming; Probability distributions; Statistical tests; Absolute error; Chi-square tests; Condition parameters; Condition-based monitoring; Markov model; Non-linear optimization; Parameter estimation This paper presents a study to estimate individual condition parameters of the transformer population based on Markov Model (MM). The condition parameters under study were hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4), ethane (C2H6), carbon monoxide (CO), carbon dioxide (CO2), dielectric breakdown voltage, interfacial tension, colour, acidity, water content, and 2-furfuraldehyde (2-FAL). First, the individual condition parameter of the transformer population was ranked and sorted based on recommended limits as per IEEE Std. C57. 104-2008 and IEEE Std. C57.106-2015. Next, the mean for each of the condition parameters was computed and the transition probabilities for each condition parameters were obtained based on non-linear optimization technique. Next, the future states probability distribution was computed based on the MM prediction model. Chi-square test and percentage of absolute error analysis were carried out to find the goodness-of-fit between predicted and computed condition parameters. It is found that estimation for majority of the individual condition parameter of the transformer population can be carried out by MM. The Chi-square test reveals that apart from CH4 and C2H4, the condition parameters are outside the rejection region that indicates agreement between predicted and computed values. It is also observed that the lowest and highest percentages of differences between predicted and computed values of all the condition parameters are 81.46% and 98.52%, respectively. � 2018 by the authors. Final 2023-05-29T06:56:26Z 2023-05-29T06:56:26Z 2018 Article 10.3390/en11082114 2-s2.0-85052822566 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052822566&doi=10.3390%2fen11082114&partnerID=40&md5=5ed4887c5ad9d19d521c2c157e8ff4c6 https://irepository.uniten.edu.my/handle/123456789/24176 11 8 2114 All Open Access, Gold, Green MDPI AG Scopus |
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Carbon dioxide; Carbon monoxide; Electric breakdown; Ethylene; IEEE Standards; Markov processes; Nonlinear programming; Probability distributions; Statistical tests; Absolute error; Chi-square tests; Condition parameters; Condition-based monitoring; Markov model; Non-linear optimization; Parameter estimation |
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57203742582 Selva A.M. Azis N. Yahaya M.S. Ab Kadir M.Z.A. Jasni J. Ghazali Y.Z.Y. Talib M.A. |
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Article |
| author |
Selva A.M. Azis N. Yahaya M.S. Ab Kadir M.Z.A. Jasni J. Ghazali Y.Z.Y. Talib M.A. |
| spellingShingle |
Selva A.M. Azis N. Yahaya M.S. Ab Kadir M.Z.A. Jasni J. Ghazali Y.Z.Y. Talib M.A. Application of markov model to estimate individual condition parameters for transformers |
| author_sort |
Selva A.M. |
| title |
Application of markov model to estimate individual condition parameters for transformers |
| title_short |
Application of markov model to estimate individual condition parameters for transformers |
| title_full |
Application of markov model to estimate individual condition parameters for transformers |
| title_fullStr |
Application of markov model to estimate individual condition parameters for transformers |
| title_full_unstemmed |
Application of markov model to estimate individual condition parameters for transformers |
| title_sort |
application of markov model to estimate individual condition parameters for transformers |
| publisher |
MDPI AG |
| publishDate |
2023 |
| _version_ |
1806426357946646528 |