Abstract
The paper deals with the urgent problem of preventing failures of oil-filled railways equipment by means of non-destructive methods of diagnostics and early detection of pre-failure conditions. A computer program based on dissolved gas analysis for assessing and predicting the power transformer’s state was proposed and registered. The objects of the study are traction substation’s transformers located on the Far Eastern Railway of Russia. The dissolved gases concentration has been analyzed for an eight-year observation period. The problem of the state of oil insulation predicting is solved by Gaussian distribution applying. The developed software can be used at the digital traction substations as the predictive analytic block, which corresponds to the current digitalization trend.
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