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陈伟根

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期刊论文

Study on Fault Diagnoses Method of Transformer DGA with Fuzzy Model Hiberarchy Classification

陈伟根Weigen Chen Caixin Sun Ruijin Liao Junfeng Guo Shuaijun Shi Zelong Cai

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摘要/描述

Because of being short of studing how to carve up the patterns of insulation faults in the field of transformer faults diagnoses, fuzzy classification theory was applied to the problem of dissolved gas analysis(DGA) in transformer oil. 183 fault samples were partitioned into a hiberarchy faults tree, and basing on which a new approach was presented for DGA, by which a insulation fault has to be diagnosed by stages. Through enhancing the veracity in every stages. a more accurate method was attained.

【免责声明】以下全部内容由[陈伟根]上传于[2005年04月30日 00时22分16秒],版权归原创者所有。本文仅代表作者本人观点,与本网站无关。本网站对文中陈述、观点判断保持中立,不对所包含内容的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考,并请自行承担全部责任。

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