A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN
A hybrid method for developing a more principled approach is presented to determine the life expectancy of transformers. The approach is constructed on an economic analysis of the transformers operational characteristics in combination  with the technical issues incorporated in the decision process...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IIUM Press, International Islamic University Malaysia
2018-12-01
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| Series: | International Islamic University Malaysia Engineering Journal |
| Online Access: | https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/793 |
| _version_ | 1818523980335677440 |
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| author | Mehdi Zareian Jahromi M.Hossein Mehrabanjahromi Mohsen Tajdinian Mehdi Allahbakhshi |
| author_facet | Mehdi Zareian Jahromi M.Hossein Mehrabanjahromi Mohsen Tajdinian Mehdi Allahbakhshi |
| author_sort | Mehdi Zareian Jahromi |
| collection | DOAJ |
| description | A hybrid method for developing a more principled approach is presented to determine the life expectancy of transformers. The approach is constructed on an economic analysis of the transformers operational characteristics in combination  with the technical issues incorporated in the decision process. In this method, firstly life time of transformer is estimated using a hybrid method based on Monte Carlo algorithm and artificial neural network. Also Pareto distribution function is applied to consider health history of transformer and uncertainty in DP behavior of transformer. In the next step, a method is proposed in order to estimate economic replacement time of transformer. This method is based on the well-known bathtub failure model, containing repairs and scheduled maintenance, in order to achieve at a more economically aim  replacing decision. This aim is obtained in part by considering the uncertainty intrinsic in transformer failures and the corresponding discontinuations in power. In essence, this method organizes a decision support system for determination the life expectancy of a transformer. Simulation results show the high accuracy and functionality of the proposed approach in estimating economic replacing time of the Transformer. |
| first_indexed | 2024-12-11T05:51:24Z |
| format | Article |
| id | doaj.art-567ce97b705146d68ff9b888a0498ffc |
| institution | Directory Open Access Journal |
| issn | 1511-788X 2289-7860 |
| language | English |
| last_indexed | 2024-12-11T05:51:24Z |
| publishDate | 2018-12-01 |
| publisher | IIUM Press, International Islamic University Malaysia |
| record_format | Article |
| series | International Islamic University Malaysia Engineering Journal |
| spelling | doaj.art-567ce97b705146d68ff9b888a0498ffc2022-12-22T01:18:48ZengIIUM Press, International Islamic University MalaysiaInternational Islamic University Malaysia Engineering Journal1511-788X2289-78602018-12-01192546710.31436/iiumej.v19i2.793602A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANNMehdi Zareian Jahromi0M.Hossein Mehrabanjahromi1Mohsen Tajdinian2Mehdi Allahbakhshi3Amirkabir University of Technology (Tehran Poly-technique)Science and Research Branch, Islamic Azad University,Tehran,IranShiraz UniversityShiraz UniversityA hybrid method for developing a more principled approach is presented to determine the life expectancy of transformers. The approach is constructed on an economic analysis of the transformers operational characteristics in combination  with the technical issues incorporated in the decision process. In this method, firstly life time of transformer is estimated using a hybrid method based on Monte Carlo algorithm and artificial neural network. Also Pareto distribution function is applied to consider health history of transformer and uncertainty in DP behavior of transformer. In the next step, a method is proposed in order to estimate economic replacement time of transformer. This method is based on the well-known bathtub failure model, containing repairs and scheduled maintenance, in order to achieve at a more economically aim  replacing decision. This aim is obtained in part by considering the uncertainty intrinsic in transformer failures and the corresponding discontinuations in power. In essence, this method organizes a decision support system for determination the life expectancy of a transformer. Simulation results show the high accuracy and functionality of the proposed approach in estimating economic replacing time of the Transformer.https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/793 |
| spellingShingle | Mehdi Zareian Jahromi M.Hossein Mehrabanjahromi Mohsen Tajdinian Mehdi Allahbakhshi A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN International Islamic University Malaysia Engineering Journal |
| title | A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN |
| title_full | A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN |
| title_fullStr | A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN |
| title_full_unstemmed | A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN |
| title_short | A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN |
| title_sort | novel method to estimate economic replacing time of transformer using monte carlo algorithm and ann |
| url | https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/793 |
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