Oil-paper aging evaluation by fuzzy clustering and factor analysis to statistical parameters of partial discharges
作者： Jian Li , Ruijin Liao , S. Grzybowski , Lijun Yang
DOI: 10.1109/TDEI.2010.5492248
关键词:
摘要: A thermal aging experiment was conducted for oil-paper insulation to evaluate the insulation's response under stress. Oil-papers at different stages were used create bound gas cavity specimens, which collect data on degrees of polymerization (DP) and partial discharge (PD). Evaluation based statistical operators PD factor analysis extract principle parameters PD. Three types fuzzy clustering approaches classify aged oil-paper: c-means, kernel possibilistic c-means. The results showed that c-means capable classifying specimens. method also verified be helpful in samples by reducing number parameters.
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