Condition Based Assessment and Diagnostics of Transformer in Smart Grid Network Using Adaptive Neuro Fuzzy Inference System Framework
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6774-2_13
Reference15 articles.
1. Chakravorti, S., Dey, D., Chatterjee, B.: Recent Trends in the Condition Monitoring of Transformers, vol. XVI, p. 280. Springer, London (2013). ISSN 1612-1287
2. Soni, R., Mehta, B.: Review on asset management of power transformer by diagnosing incipient faults and faults identification using various testing methodologies. Eng. Failure Anal. 105634 (2021). ISSN 1350-630
3. Soni, R., Mehta, B.: Graphical examination of dissolved gas analysis by ratio methods and Duval triangle method to investigate internal faults of power transformer. Mater. Today Proc. (2022)
4. Dao, T., Phung, B.T.: Effects of voltage harmonic on losses and temperature rise in distribution transformers. IET Gener. Transm. Distrib. 12, 347–354 (2018)
5. Soni, R., Mehta, B.: Evaluation of power transformer health analysis by internal fault criticalities to prevent premature failure using statistical data analytics approach. Eng. Failure Anal. 136, 106213 (2022). ISSN 1350-6307
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