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Aiming at the shortages of the diagnosing efficiency, applicability and knowledge acquisition ability in traditional transformer fault diagnosing methods, an immune model for diagnosing transformer fault is established in this paper by combining the strong ability of recognition and learning in the artificial immune system (AIS) with the attributes' objectively reduction of the rough set theory (RST)...
Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper. In this method fuzzy membership function of the observed information are used to establish posterior probability of primary assumptions in Bayesian optimal classifier, the classified result based on each fault information is for that worked...
Based on rough set and fuzzy set and Bayesian optimal classifier, a novel transformer fault diagnosis and maintenance method is proposed in the paper. The method firstly applies fuzzy subjection degree function of the observed information to establish posterior probability of original assumption in Bayesian optimal classifier, the classified results based on each fault information then are calculated,...
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