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《Automation of Electric Power Systems》 2004-23
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DEVELOPMENT OF A HIERARCHICAL FAULT DIAGNOSIS SYSTEM OF POWER TRANSFORMERS USING MULTI DATA RESOURCES

Li Jing, Tu Guangyu, Luo Yi (Huazhong University of Science and Technology, Wuhan 430074, China)  
Under the condition of lacking ubiquitously of on-line monitoring information of power transformers at present, a hierarchical fault diagnosis system of power transformers using multi data resources is developed. It makes the best of the information of on-line monitoring, all sorts of electric tests, operation status and expert experience, and combines the artificial neural network (ANN) with the case-based reasoning expert system to progressively deepen and refine the diagnostic result, adopting different intelligent diagnosis methods in the fault diagnosis model with different hierarchy. The data flow and knowledge flow of the hierarchical fault diagnosis system is designed reasonable. Furthermore, a simulator to substation data for the systemic test is provided, to a certain degree guaranteeing the reliability of the system proposed.
【CateGory Index】: TM407
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