Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification

Research article (Electrical Engineering, 2022) · cited 36× · AI/ML
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Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification

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Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigation-on-machine-learning-algorithms-to-support-transformer-dissolved-gas-analysis-fault-identification
MLA “Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigation-on-machine-learning-algorithms-to-support-transformer-dissolved-gas-analysis-fault-identification.
BibTeX @misc{4ortxyz_investigation-on-machine-learning-algorithms-to-support-transformer-dissolved-gas-analysis-fault-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification}}, year = {2026}, url = {https://4ort.xyz/entity/investigation-on-machine-learning-algorithms-to-support-transformer-dissolved-gas-analysis-fault-identification}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification — https://4ort.xyz/entity/investigation-on-machine-learning-algorithms-to-support-transformer-dissolved-gas-analysis-fault-identification (retrieved 2026-05-24)

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