The Fault Diagnose Of Electric Power Transformer Based On Fault Tree Analysis

Electric Power Transformer is the important electrical equipment of power network,its safe operation premise the safety service of electrical power system. For the power demand of users,the power system scale is rising,so does single transformer capacity. Therefore the fault damages transformer itself,affects the power system network,and brings loss to users. In order to protect from the fault of transformer,we should reinforce the monitor on varies transformer faults and predict transformers' faults in advance. So the diagnostic technique has been becoming a important question for study or discussion.According to the diagnostic characteristic of the interior fault in transformer,we study the fault diagnostic of transformer by FAT,ES,FT. the main achievement lies in below:1, Constructing the transformer model of diagnostic fault apply in FAT with help of the data of actual transformer fault during several years and applying in transformer fault diagnostic expert system.2, Dissolved gas-in-oil analysis is done fuzzy process. Applying in fuzzy inference and match for locating faults,in order to lay solid foundations for transformers' faults diagnostic expert system.3,all sorts of uncertainly factors that exits in transformers' faults are analyzed fuzzy set theory and uncertainly inference stratagem ,and expert system is transformed to fuzzy expert system that is more practical and more significant.