Condition-based monitoring of power transformer insulation should center on the prediction of a substantial drop in the dielectric safety margin under the impact of moisture, oil by-products, contaminating particles, paper insulation aging and partial discharge activity. A functional failure model of power transformer insulation and possible effective methods of the insulation condition assessment are discussed based on practical experience.
In order to make the best decisions about managing the serviceability of a huge aged transformer population, it is imperative to understand the condition of the equipment. Functional-based methodologies that consider the assessment of the condition of transformer insulation on the relevant safety margins are discussed based on practical experience. Possible benefits of on-line diagnostic techniques and effective area of application of dielectric characteristics are presented.
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