发明名称 |
INTERNAL ABNORMALITY DIAGNOSIS METHOD, INTERNAL ABNORMALITY DIAGNOSIS SYSTEM, AND DECISION TREE GENERATION METHOD FOR INTERNAL ABNORMALITY DIAGNOSIS OF OIL-FILLED ELECTRIC APPARATUS UTILIZING GAS CONCENTRATION IN OIL |
摘要 |
An object is to provide an internal abnormality diagnosis method, an internal abnormality diagnosis system and a decision tree generation method for internal abnormality diagnosis of an oil-filled electric apparatus utilizing gas concentration in oil and having a diagnostic accuracy equal to or higher than that of a diagnostic specialist having reached a certain level. The present invention provides a method for generating a decision tree for determining the type of an internal abnormality of an oil-filled electric apparatus using a computer. In the decision tree generation method, the computer generates a standardized data group by converting concentrations of a plurality of gas species dissolved in an insulating oil in an oil-filled electric apparatus into ratios for each abnormality case, generates a discretized data group by converting the ratios of the concentrations of the gas species, the ratios constituting the standardized data group, into a plurality of discretized attributes using predetermined thresholds which are set for the respective gas species, and generates a decision tree for determining the type of an internal abnormality of the oil-filled electric apparatus by analysis using specific formulae on the basis of the discretized data group.
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申请公布号 |
US2013204827(A1) |
申请公布日期 |
2013.08.08 |
申请号 |
US201013820663 |
申请日期 |
2010.09.02 |
申请人 |
KAWACHI FUMIO;YAMAKOSHI MASANORI;KASAOKA MAKOTO;KANDEN ENGINEERING CORPORATION |
发明人 |
KAWACHI FUMIO;YAMAKOSHI MASANORI;KASAOKA MAKOTO |
分类号 |
G06N5/02 |
主分类号 |
G06N5/02 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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