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《Automation of Electric Power Systems》 2005-18
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Application of Three-level Dependent Degree for Transformer Fault Diagnosis

DENG Hong-gui , LUO An , CAO Jian , CAO Xiang ( Central South University, Changsha 410083, China) ( Hunan University, Changsha 410082, China)  
To enhance the ability of conventional dissolved gas analysis (DGA) and overcome the disadvantages of the relative correlation grade, a discussion on the principle of the fault diagnosis based on the relative analysis theory is provided and a three-level correlation algorithm is proposed. A novel method for three-level degree of correlation is established for qualitatively and quantitatively describing the fault diagnostic problem with the power transformer. Experimental results are presented to verify the effectiveness of the method proposed using five kinds of dissolved gases in the oil, i.e. acetylene, hydrogen, ethane, methane, and ethylene. The method's superiority over other methods is demonstrated by the results.
【Fund】: 国家“十五”重点科技攻关项目(2002BA218C)。
【CateGory Index】: TM407
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