A novel method to estimate the lifetime of mineral oil-type power transformers based on the analysis of chemical and physical indicators using artificial intelligence.

Oil transformers are one of the most widely used and vital equipment in power distribution networks. Therefore, in order to maintain the service of the electricity distribution system, special attention should be paid to the health and repairs of these equipment's in order to avoid possible costs due to their failure. Since the mineral oil used in these transformers is one of the strongest insulators, it needs a series of maintenance and periodic tests to increase the lifespan of the transformer.