Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network
The electric marine instruments are newly inserted in the trade and industry, for which the existence of an equipped and reliable power system is necessitated. One of the features of such a power system is that it cannot have an earth system causing the protection relays not to be able to d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Technical Sciences in Cacak
2013-01-01
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| Series: | Serbian Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2013/1451-48691300015B.pdf |
| _version_ | 1828749940779646976 |
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| author | Behniafar Ali Darabi Ahmad Banejad Mahdi Baghayipour Mohammadreza |
| author_facet | Behniafar Ali Darabi Ahmad Banejad Mahdi Baghayipour Mohammadreza |
| author_sort | Behniafar Ali |
| collection | DOAJ |
| description | The electric marine instruments are newly inserted in the trade and industry,
for which the existence of an equipped and reliable power system is
necessitated. One of the features of such a power system is that it cannot
have an earth system causing the protection relays not to be able to detect
the single line to ground short circuit fault. While on the other hand, the
occurrence of another similar fault at the same time can lead to the double
line fault and thereby the tripping of relays and shortening of vital loads.
This in turn endangers the personals' security and causes the loss of
military plans. From the above considerations, it is inferred that detecting
the single line to ground fault in the marine instruments is of a special
importance. In this way, this paper intends to detect the single line to
ground fault in the power systems of the marine instruments using the
wavelet transform and Multi-Layer Perceptron (MLP) neural network. In the
numerical analysis, several different types of short circuit faults are
simulated on several marine power systems and the proposed approach is
applied to detect the single line to ground fault. The results are of a high
quality and preciseness and perfectly demonstrate the effectiveness of the
proposed approach. |
| first_indexed | 2024-12-10T20:30:45Z |
| format | Article |
| id | doaj.art-4ab502f94bd440898b5d9d5b73a36337 |
| institution | Directory Open Access Journal |
| issn | 1451-4869 2217-7183 |
| language | English |
| last_indexed | 2024-12-10T20:30:45Z |
| publishDate | 2013-01-01 |
| publisher | Faculty of Technical Sciences in Cacak |
| record_format | Article |
| series | Serbian Journal of Electrical Engineering |
| spelling | doaj.art-4ab502f94bd440898b5d9d5b73a363372022-12-22T01:34:41ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832013-01-0110344545710.2298/SJEE130601015B1451-48691300015BDetecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural networkBehniafar Ali0Darabi Ahmad1Banejad Mahdi2Baghayipour Mohammadreza3Faculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, IranFaculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, IranFaculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, IranFaculty of Electrical and Robotic Engineering, Shahrood University of Technology, Shahrood, IranThe electric marine instruments are newly inserted in the trade and industry, for which the existence of an equipped and reliable power system is necessitated. One of the features of such a power system is that it cannot have an earth system causing the protection relays not to be able to detect the single line to ground short circuit fault. While on the other hand, the occurrence of another similar fault at the same time can lead to the double line fault and thereby the tripping of relays and shortening of vital loads. This in turn endangers the personals' security and causes the loss of military plans. From the above considerations, it is inferred that detecting the single line to ground fault in the marine instruments is of a special importance. In this way, this paper intends to detect the single line to ground fault in the power systems of the marine instruments using the wavelet transform and Multi-Layer Perceptron (MLP) neural network. In the numerical analysis, several different types of short circuit faults are simulated on several marine power systems and the proposed approach is applied to detect the single line to ground fault. The results are of a high quality and preciseness and perfectly demonstrate the effectiveness of the proposed approach.http://www.doiserbia.nb.rs/img/doi/1451-4869/2013/1451-48691300015B.pdfsingle phase to ground faultungrounded systemwavelet transformneural networkshipboard |
| spellingShingle | Behniafar Ali Darabi Ahmad Banejad Mahdi Baghayipour Mohammadreza Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network Serbian Journal of Electrical Engineering single phase to ground fault ungrounded system wavelet transform neural network shipboard |
| title | Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network |
| title_full | Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network |
| title_fullStr | Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network |
| title_full_unstemmed | Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network |
| title_short | Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network |
| title_sort | detecting the single line to ground short circuit fault in the submarine s power system using the artificial neural network |
| topic | single phase to ground fault ungrounded system wavelet transform neural network shipboard |
| url | http://www.doiserbia.nb.rs/img/doi/1451-4869/2013/1451-48691300015B.pdf |
| work_keys_str_mv | AT behniafarali detectingthesinglelinetogroundshortcircuitfaultinthesubmarinespowersystemusingtheartificialneuralnetwork AT darabiahmad detectingthesinglelinetogroundshortcircuitfaultinthesubmarinespowersystemusingtheartificialneuralnetwork AT banejadmahdi detectingthesinglelinetogroundshortcircuitfaultinthesubmarinespowersystemusingtheartificialneuralnetwork AT baghayipourmohammadreza detectingthesinglelinetogroundshortcircuitfaultinthesubmarinespowersystemusingtheartificialneuralnetwork |