The current development of the smart grids has considerably increased the amount of research studies around new exploitation paradigms focused on the electrical distribution systems. One of the key elements of electrical distribution networks is the distribution transformer that supports the load that has to feed the consumer needs. This paper aims at characterizing the life of the distribution transformers using clustering techniques. This will make it possible to focus the attention of the Distribution System Operator on particular groups of distribution transformers reducing the amount of information to be analyzed. Also this classification combined with the study of stress indicators for each distribution transformer can be used to complement the criteria used for the network planning and operation.
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condition monitoring, distribution power transformer, clustering, life indicators, neural networks
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