This article is a review of scientific research devoted to diagnosing the technical condition of oil-based power transformers. Both traditional methods of analysis, based on the study of oil samples and electrical characteristics, and promising directions using the analysis of vibroacoustic signals and machine learning are considered.

Oil transformer, diagnostics, technical condition, oil analysis, electrical characteristics, vibroacoustic analysis, machine learning.

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