Identification of faults in network oil-filled electrical equipment based on DGA and Siamese neural network
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0111509
Reference10 articles.
1. A.V. Tyuryumina and et al., “The current state of the issue of diagnostics of power transformers”, in Modern materials, equipment and technologies. 2015, Q 3(3), pp. 245-250. URL: https://cyberleninka.ru/article/n/sovremennoe-sostoyanie-voprosa-diagnostiki-silovyh-transformatorov/viewer
2. A Fuzzy Logic Model for Power Transformer Faults’ Severity Determination Based on Gas Level, Gas Rate, and Dissolved Gas Analysis Interpretation
3. Integrated power transformer diagnosis using hybrid fuzzy dissolved gas analysis
4. Fault prognosis in power transformers using adaptive-network-based fuzzy inference system
5. Complementary Analysis for DGA Based on Duval Methods and Furan Compounds Using Artificial Neural Networks
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