Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA

Research article (Energies, 2023) · cited 13× · AI/ML
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Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA

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Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA. Retrieved May 24, 2026, from https://4ort.xyz/entity/transformer-winding-fault-classification-and-condition-assessment-based-on-random-forest-using-fra
MLA “Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transformer-winding-fault-classification-and-condition-assessment-based-on-random-forest-using-fra.
BibTeX @misc{4ortxyz_transformer-winding-fault-classification-and-condition-assessment-based-on-random-forest-using-fra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA}}, year = {2026}, url = {https://4ort.xyz/entity/transformer-winding-fault-classification-and-condition-assessment-based-on-random-forest-using-fra}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA — https://4ort.xyz/entity/transformer-winding-fault-classification-and-condition-assessment-based-on-random-forest-using-fra (retrieved 2026-05-24)

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