Automatic Analysis System for Monitoring and Diagnosing the Condition of Transformer Insulating Oils
Year: 2025
Type: article
Abstract: Mineral insulating oil degrades over time due to oxidation, accelerated by metallic compounds, oxygen, water, and heat. This degradation leads to color changes, acidic compound formation, and, in advanced stages, sludge precipitation. Monitoring these changes requires periodic chemical, physical-chemical, and chromatographic analyses, which can be time-consuming and costly. This work presents a pilot unit that simulates transformer conditions and enables real-time, automated measurement of oil color, dissolved oxygen, conductivity, and pH, allowing for reliable degradation diagnostics. The results indicated an upward trend in analyzed parameters, showing that degradation begins quickly. The obtained values provided a more precise diagnosis of oil condition. The statistical correlations further justify the findings, demonstrating the effectiveness of automated monitoring. Implementing this automation can significantly reduce equipment downtime and unnecessary laboratory analyses, with chemical tests serving as confirmation.
Authors: Farias da Rosa, Valquíria Cristina, Pinheiro Pereira, Simone de Fátima, Fernandes de Souza, Alan Marcel, Moreira de Sousa Junior, Pedro, da Silva Sodré, Adrianny, Magno Rocha, Ronaldo, Castro dos Santos, Davis, de Melo e Silva, Thiago
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949587446
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