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Design of a fault diagnostic engine for power transformer using data mining

The power transformer is one of the main components in a power transmission network. Major faults in these transformers can cause extensive damage which does not only interrupt electricity supply but also results in large revenue losses. Thus, these transformers are needed to be routinely maintained...

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Main Authors: Zainal Abidin, Muhammad Shukri, Husain, Abdul Rashid, Khalid, Marzuki, Abd. Manaf, Rohani, Abdul Razak, Muhammad Afifi, Mustaffa, Suryani, Ismail, Siti Hajar Aisyah, Elias @ Mayah, Khairil Ashraf, Jaafar, Muhamad Shakhir
Format: Monograph
Language:English
Published: Faculty of Electrical Engineering 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/5839/1/74286.pdf
http://eprints.utm.my/id/eprint/5839/
https://core.ac.uk/display/11781963
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spelling my.utm.58392017-06-20T04:17:25Z http://eprints.utm.my/id/eprint/5839/ Design of a fault diagnostic engine for power transformer using data mining Zainal Abidin, Muhammad Shukri Husain, Abdul Rashid Khalid, Marzuki Abd. Manaf, Rohani Abdul Razak, Muhammad Afifi Mustaffa, Suryani Ismail, Siti Hajar Aisyah Elias @ Mayah, Khairil Ashraf Jaafar, Muhamad Shakhir TK Electrical engineering. Electronics Nuclear engineering The power transformer is one of the main components in a power transmission network. Major faults in these transformers can cause extensive damage which does not only interrupt electricity supply but also results in large revenue losses. Thus, these transformers are needed to be routinely maintained. Due to the large number of transformers of different makes and capacities, routine maintenance and diagnosis of such transformers are rather difficult as different transformers exhibit different characteristics and problems. Moreover, different climatic and operating conditions may not be able to draw correct conclusion to some problems. In Malaysia, the lack of local expertise makes dependency on foreign consultants imminent which are rather expensive. To help in overcoming such problems, a Software for Intelligent Diagnostics of Power Transformers known as ADAPT, using the technique of fuzzy logic is developed in this study. The technique allows the interpretation of the Dissolved Gas Analysis (DGA) to be performed routinely on the transformers. In order to ensure that all the transformers are diagnosed and maintained properly, a new intelligent diagnostic architecture known as Total Intelligent Diagnostic Solution (TIDS) has been developed to improve the diagnosis accuracy of the conventional DGA approaches. The TIDS structure has a main interpretation module which consists of Fuzzy TDCG and Fuzzy Key Gases and a supportive interpretation module which consists of Fuzzy Rogers Ratio and Fuzzy Nomograph. The TIDS structure is incorporated into the ADAPT software which allows for multiple diagnostic methods to reach an ultimate outcome especially when verified by four methods. This new architecture leads to the diagnostic of a wider range of transformer fault types and provides a more detail information about the transformer condition, thus help to reduce maintenance costs, prevent unnecessary force outages and avoid explosion danger. Faculty of Electrical Engineering 2007-09-30 Monograph NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/5839/1/74286.pdf Zainal Abidin, Muhammad Shukri and Husain, Abdul Rashid and Khalid, Marzuki and Abd. Manaf, Rohani and Abdul Razak, Muhammad Afifi and Mustaffa, Suryani and Ismail, Siti Hajar Aisyah and Elias @ Mayah, Khairil Ashraf and Jaafar, Muhamad Shakhir (2007) Design of a fault diagnostic engine for power transformer using data mining. Project Report. Faculty of Electrical Engineering, Skudai, Johor. (Unpublished) https://core.ac.uk/display/11781963
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Zainal Abidin, Muhammad Shukri
Husain, Abdul Rashid
Khalid, Marzuki
Abd. Manaf, Rohani
Abdul Razak, Muhammad Afifi
Mustaffa, Suryani
Ismail, Siti Hajar Aisyah
Elias @ Mayah, Khairil Ashraf
Jaafar, Muhamad Shakhir
Design of a fault diagnostic engine for power transformer using data mining
description The power transformer is one of the main components in a power transmission network. Major faults in these transformers can cause extensive damage which does not only interrupt electricity supply but also results in large revenue losses. Thus, these transformers are needed to be routinely maintained. Due to the large number of transformers of different makes and capacities, routine maintenance and diagnosis of such transformers are rather difficult as different transformers exhibit different characteristics and problems. Moreover, different climatic and operating conditions may not be able to draw correct conclusion to some problems. In Malaysia, the lack of local expertise makes dependency on foreign consultants imminent which are rather expensive. To help in overcoming such problems, a Software for Intelligent Diagnostics of Power Transformers known as ADAPT, using the technique of fuzzy logic is developed in this study. The technique allows the interpretation of the Dissolved Gas Analysis (DGA) to be performed routinely on the transformers. In order to ensure that all the transformers are diagnosed and maintained properly, a new intelligent diagnostic architecture known as Total Intelligent Diagnostic Solution (TIDS) has been developed to improve the diagnosis accuracy of the conventional DGA approaches. The TIDS structure has a main interpretation module which consists of Fuzzy TDCG and Fuzzy Key Gases and a supportive interpretation module which consists of Fuzzy Rogers Ratio and Fuzzy Nomograph. The TIDS structure is incorporated into the ADAPT software which allows for multiple diagnostic methods to reach an ultimate outcome especially when verified by four methods. This new architecture leads to the diagnostic of a wider range of transformer fault types and provides a more detail information about the transformer condition, thus help to reduce maintenance costs, prevent unnecessary force outages and avoid explosion danger.
format Monograph
author Zainal Abidin, Muhammad Shukri
Husain, Abdul Rashid
Khalid, Marzuki
Abd. Manaf, Rohani
Abdul Razak, Muhammad Afifi
Mustaffa, Suryani
Ismail, Siti Hajar Aisyah
Elias @ Mayah, Khairil Ashraf
Jaafar, Muhamad Shakhir
author_facet Zainal Abidin, Muhammad Shukri
Husain, Abdul Rashid
Khalid, Marzuki
Abd. Manaf, Rohani
Abdul Razak, Muhammad Afifi
Mustaffa, Suryani
Ismail, Siti Hajar Aisyah
Elias @ Mayah, Khairil Ashraf
Jaafar, Muhamad Shakhir
author_sort Zainal Abidin, Muhammad Shukri
title Design of a fault diagnostic engine for power transformer using data mining
title_short Design of a fault diagnostic engine for power transformer using data mining
title_full Design of a fault diagnostic engine for power transformer using data mining
title_fullStr Design of a fault diagnostic engine for power transformer using data mining
title_full_unstemmed Design of a fault diagnostic engine for power transformer using data mining
title_sort design of a fault diagnostic engine for power transformer using data mining
publisher Faculty of Electrical Engineering
publishDate 2007
url http://eprints.utm.my/id/eprint/5839/1/74286.pdf
http://eprints.utm.my/id/eprint/5839/
https://core.ac.uk/display/11781963
_version_ 1643644416064225280
score 13.211869

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