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Normal operation of the transformer is an important guarantee of the reliability of the power system. The transformer fault diagnosis is an important basis for transformer maintenance. Three-ratio method is widely used in oil-immersed transformer fault diagnosis, however the encoded value is too severe to correspond to the type of failure. FCM (Fuzzy C-means clustering) algorithm is introduced to...
Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an approach based on association rule and knowledge base is proposed and implemented in the fault diagnosis of a transformer system. According to the features of association rule, the...
Dissolved gas-in-oil analysis (DGA) is one of the most useful methods to detect transformer incipient faults. Among the diverse conventional DGA methods, IEC three-ratio method is widely used, but in many cases this method can not accurately diagnose(such as no matching, multiple faults). This paper proposes a fuzzy three-ratio method; it is considered that the drawbacks of the conventional three-ratio...
Based on extension theory and conventional DGA (dissolved gas analysis) three-ratio method, this paper proposes an extension theory based power transformer fault diagnosing method. Extension theory tries to solve contradictions and incompatibility problems, its theoretical pillars are matter element theory and extension set theory. This paper first briefly introduces the basic concept of matter element...
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