Dezembro 2024 vol. 11 num. 2 - X Simpósio Internacional de Inovação e Tecnologia

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Artificial Neural Networks applied in the predictive maintenance of Electricity Generating Units through the Partial Discharges Classification

Artificial Neural Networks applied in the predictive maintenance of Electricity Generating Units through the Partial Discharges Classification

Cardoso, Regis ; Marchesini, Giancarlo ; Santos Junior, Elço João dos ; Furlani, Alisson Lopes ;

Full Article:

"Electrical equipment in transmission lines and power distribution oftenexperiences faults due to insulation failures. Studies have shown that insulation defectscause localized electrical discharges, known as Partial Discharges (PD). PD analysisis an effective method for monitoring electrical equipment. Repeated PDs weaken theinsulation and may eventually cause system failure. Regulations identify seven typesof PDs, each linked to specific insulation failures and criticality levels. This articlepresents promising results using Artificial Intelligence algorithms, specifically ArtificialNeural Networks, to classify PD types with over 99% accuracy. The algorithm operatesas a microservice, automatically handling search, classification, and event generation."

Full Article:

"Electrical equipment in transmission lines and power distribution oftenexperiences faults due to insulation failures. Studies have shown that insulation defectscause localized electrical discharges, known as Partial Discharges (PD). PD analysisis an effective method for monitoring electrical equipment. Repeated PDs weaken theinsulation and may eventually cause system failure. Regulations identify seven typesof PDs, each linked to specific insulation failures and criticality levels. This articlepresents promising results using Artificial Intelligence algorithms, specifically ArtificialNeural Networks, to classify PD types with over 99% accuracy. The algorithm operatesas a microservice, automatically handling search, classification, and event generation."

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Palavras-chave: Artificial intelligence, partial discharge, predictive maintenance,

Palavras-chave: Artificial intelligence, partial discharge, predictive maintenance,

DOI: 10.5151/siintec2024-393169

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Como citar:

Cardoso, Regis; Marchesini, Giancarlo; Santos Junior, Elço João dos; Furlani, Alisson Lopes; "Artificial Neural Networks applied in the predictive maintenance of Electricity Generating Units through the Partial Discharges Classification", p. 520-537 . In: . São Paulo: Blucher, 2024.
ISSN 2357-7592, DOI 10.5151/siintec2024-393169

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