This paper presents an integrated system for automatic diagnostic on power transformers (SIDAT) of substations. SIDAT performs diagnosis based on several kinds of tests such as thermography images, chromatography, physical-chemical, and electrical. SIDAT also performs prognostic indicating the time life of the equipment. The inference engine for diagnostic is based on rules of the maintenance department of the company and it has been designed as a set Mealy Finite State Machines (FSMs). The system has been tested and evaluated with data coming from a production environment and stores data of 157 power transformers (13.8kVA and 34.5kVA) located in 94 different substations.
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