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To solve the following problems during Transformer Fault Diagnosis: high misdiagnosis rate, calculation complexity, low recognition rate and so on, Oil-immersed Power Transformer fault diagnosis method based on Improved Interval Extension is put forward. First, Improved Extension Set on Intervals fault diagnosis model is established by interval extension method; then, the improved analytic hierarchy process is used to calculate and select the fault feature weight value of typical gases in oil,and the classical and joint domain are obtained according to fault feature standard sequence of typical gases in oil. Finally, the fault type of the object to be diagnosed can be obtained by relevancy calculation and the maximum subordination principle. Then, a test based on 30 sets of data from each fault type is carried out, the result of which verify the effectiveness of the method proposed. Introduction With the advent of a new era of the power system in which the smart grid and ultra-high voltage emerge, the power supply nowadays has grown a lot in importance. Since the power transformer is an important part of the power system, the research on its fault diagnosis is of great significance. At present, the frequently-adopted transformer fault diagnosis method is dissolved gas analysis, which mainly involves the total hydrocarbon ann v curve method, four ratio method, artificial neutral network technology and three ratio method. In this paper, a research on oil-immersed transformer fault diagnosis method based on improved extension set on intervals has been done. In other words, a diagnosis method with the help of the extension theory to recognize the extension in different fault situations of transformer has been put forward. Specifically speaking, the matter element, the classical and joint domain of the diagnosed object will be determined through the interval extension method, and the fault feature weight value of the selected typical gases in oil will be calculated through the improved analytic hierarchy method followed by a calculation of relevancy. Finally, the fault type of the object to be diagnosed can be determined based on the maximum subordination principle. Through this method, both the efficiency and accuracy of the fault diagnosis can be improved. Analysis on transformer diagnosis and its features. The common three faults of oil-immersed transformer are overheat fault, discharge fault and moisture.In this paper, a rough statistics on the faults of a oil-immersed transformer in Beijing has been done, the result of which has been shown in Table 1. 231 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017) Advances in Engineering Research (AER), volume 130

Research on Oil-immersed Transformer Fault Diagnosis Method Based on Improved Extension Set on Intervals