Dissolved gas analysis of transformers based on rough set and fuzzy logic methods

Citation

Kadim, E. J. and Hee, C. F. and Azis, Norhafiz and Jasni, Jasronita and Ahmad, S. A. and Ab Kadir, Mohd Zainal Abidin (2015) Dissolved gas analysis of transformers based on rough set and fuzzy logic methods. In: 2015 IEEE Conference on Energy Conversion (CENCON), 19-20 Oct. 2015, Johor Bahru, Malaysia. (pp. 268-271).

Abstract

Dissolved Gas Analysis (DGA) is one of the common approaches that can be used to detect incipient faults in transformers. According to IEEE C57/104-2008 and IEC 60599 standards, there are many DGA techniques that can be used to interpret the type of faults. In this paper, an alternative method to diagnose faults in transformers based on Rough Set (RS) and Fuzzy Logic (FL) is proposed. The rules for the FL are generated from the attributes of RS. Based on this method, it was found that the efficiency of the fault interpretation based on RS/FL is improved compared to the conventional methods in standards.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/CENCON.2015.7409552
Publisher:	IEEE
Keywords:	Dissolved gas analysis; Faults interpretations; Fuzzy logic; Rough set; Transformers
Depositing User:	Nabilah Mustapa
Date Deposited:	04 Aug 2016 05:32
Last Modified:	04 Aug 2016 05:32
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CENCON.2015.7409552
URI:	http://psasir.upm.edu.my/id/eprint/48222
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