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This paper describes the development of a computational tool based on the application of probabilistic inference networks (Bayesian networks) to deal with the uncertainties related to the transformer diagnosis problem, considering information from alarms. A Bayesian network is a graphical representation of a problem where each node is an event (alarm or fault) and the links represent causal relations...