Classification of Fault and Stray Gassing in Transformer by Using Duval Pentagon and Machine Learning Algorithms-Reference-Cited by-同舟云学术

Classification of Fault and Stray Gassing in Transformer by Using Duval Pentagon and Machine Learning Algorithms

Published:2022-04-01 Issue:11 Volume:47 Page:14355-14364
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Jia Yong Haw^ORCID,Mohd Yousof Mohd Fairouz,Abd Rahman Rahisham,Talib Mohd Aizam,Azis Norhafiz

Funder

Universiti Tun Hussein Onn Malaysia

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-022-06770-0.pdf

Reference36 articles.

1. Dhrubesh, M.M.; Kundu, P.; Chowdhury, A.; Lakhiani, V.K.: Dga diagnostics save transformers-case studies. In: 2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), pp. 116–120 (2015)

2. Kim, S.; Seo, H.; Jung, J.: Advanced dissolved gas analysis method with stray gassing diagnosis. In: 2016 International conference on Condition Monitoring and Diagnosis (CMD), pp. 522–525 (2016)

3. Chatterjee, K.; Jadoun, V.K.; Jariak, R.K.: Emerging trends for determining incipient faults by dissolved gas analysis. In: 2017 3rd International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), pp. 63–68 (2017)

4. Genc, S.; Karagol, S.: Fuzzy logic application in dga methods to classify fault type in power transformer. In: 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1–4 (2020)

5. Apte, S.; Somalwar, R.; Wajirabadkar, A.: Incipient fault diagnosis of transformer by DGA using fuzzy logic. In: 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), pp. 1–5 (2018)

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