A Smart Multi-Sensor for the Diagnosis of Distribution Transformers

Abstract

The solution presented here addresses the condition monitoring and diagnosis of distribution transformers. An innovative autonomous multi-sensing unit is proposed, comprising a number of different sensors to supervise several critical variables associated with the transformer's operational performance. The combination and continuous study of these different elements enables predictive maintenance techniques, thus allowing a timely response to both trends and single events found in the apparatus under observation, which will decisively contribute to reduce outages and to improve the overall quality of service.