Application of Norm Gray Correlation Degree Analysis in the Dissolved Gases in Transformer Oil Analysis

摘要

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.