Condition-Based Monitoring of Power Transformer with Graphical Analysis of Incipient Faults Using Fuzzy Inference Expert System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3656-4_34
Reference10 articles.
1. Chakravorti S, Dey D, Chatterjee B (2013) Recent trends in the condition monitoring of transformers: theory, implementation and analysis, vol. XVI. Springer, London, p 280. ISSN: 1612–1287
2. Soni R, Mehta B (2021) Review on asset management of power transformer by diagnosing incipient faults and faults identification using various testing methodologies. Eng Fail Anal 128(2):105634. ISSN: 1350–630
3. Soni R, Mehta B (2022) Graphical examination of dissolved gas analysis by ratio methods and Duval triangle method to investigate internal faults of power transformer. Mater Today Proc 62(13):7098–7103
4. DGA monitoring systems (2019). In: CIGRÉ Technical Brochure 783, WG D1/A2.47
5. Soni R, Mehta B (2023) Diagnosis and prognosis of incipient faults and insulation status for asset management of power transformer using fuzzy logic controller & fuzzy clustering means. Electr Power Syst Res 220:109256. ISSN: 0378–7796
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1. Condition Based Assessment and Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System Framework;Intelligent Manufacturing and Energy Sustainability;2023-11-28
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