Application of Norm Gray Correlation Degree Analysis in the Dissolved Gases in Transformer Oil Analysis
In the process of transformer fault diagnosis,the contents of characteristic gases in transformer oil are numerical displays of their behavioral characteristics,there are some interference factors when it is running.So using single characteristic vector of standard mode is difficult to represent its fault condition accurately.Given the above situation,the norm gray correlation degree analysis is used in determining power transformer faults diagnosis in this paper,which is further applied to analyze the factor weights of dissolved gases in transformer oil.The simulation testing of weights results within permission of error shows that this method provides a better approximation than that based on average values,lowering need of single datas of reference signal.Thus,it provides us an accurate assessment of factor weights affecting the power transformer faults diagnose.
gray correlation analysis of the norm dissolved gas analysis factor weights fault diagnosis
GONG Ruikun MA Liang YANG Youliang ZHAO Yanjun
College of Computer and Automatic Control Hebei United University Tangshan,China
国际会议
太原
英文
435-438
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）