Fuzzy Algorithm for Power Transformer Diagnostics

Fuzzy Algorithm for Power Transformer Diagnostics

Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometime...

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Main Authors: Nitin K. Dhote, Jagdish B. Helonde
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2013/421621
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spelling doaj-ac6dfa00ca344366ba305b1b6d2c14482020-11-24T23:56:46ZengHindawi LimitedAdvances in Fuzzy Systems1687-71011687-711X2013-01-01201310.1155/2013/421621421621Fuzzy Algorithm for Power Transformer DiagnosticsNitin K. Dhote0Jagdish B. Helonde1St. Vincent Pallotti College of Engineering and Technology, Wardha Road, Nagpur 441108, IndiaPrincipal ITM College of Engineering, Nagpur, IndiaDissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results fall outside conventional methods codes or when more than one fault exist in the transformer. To overcome these limitations, the fuzzy inference system (FIS) is proposed. Two hundred different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.http://dx.doi.org/10.1155/2013/421621
collection DOAJ
language English
format Article
sources DOAJ
author Nitin K. Dhote
Jagdish B. Helonde
spellingShingle Nitin K. Dhote
Jagdish B. Helonde
Fuzzy Algorithm for Power Transformer Diagnostics
Advances in Fuzzy Systems
author_facet Nitin K. Dhote
Jagdish B. Helonde
author_sort Nitin K. Dhote
title Fuzzy Algorithm for Power Transformer Diagnostics
title_short Fuzzy Algorithm for Power Transformer Diagnostics
title_full Fuzzy Algorithm for Power Transformer Diagnostics
title_fullStr Fuzzy Algorithm for Power Transformer Diagnostics
title_full_unstemmed Fuzzy Algorithm for Power Transformer Diagnostics
title_sort fuzzy algorithm for power transformer diagnostics
publisher Hindawi Limited
series Advances in Fuzzy Systems
issn 1687-7101
1687-711X
publishDate 2013-01-01
description Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results fall outside conventional methods codes or when more than one fault exist in the transformer. To overcome these limitations, the fuzzy inference system (FIS) is proposed. Two hundred different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.
url http://dx.doi.org/10.1155/2013/421621
work_keys_str_mv AT nitinkdhote fuzzyalgorithmforpowertransformerdiagnostics
AT jagdishbhelonde fuzzyalgorithmforpowertransformerdiagnostics
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