Diagnosis of electric power apparatus using the decision tree method

IEEE Transactions on Dielectrics and Electrical Insulation

Volumn 15, Issue 5, 2008, Pages 1252-1260

  Hirose, Hideo ^a   Hikita, Masayuki ^a   Ohtsuka, Shinya ^a   Tsuru, Shin Ichirou ^b   Ichimaru, Junji ^b  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^b KYUSHU ELECTRIC POWER CO INC   (Japan)

Author keywords

V n pattern; Accuracy; Decision tree; Generalized normal distribution; GIS; Model; Neural networks; POW; Weibull distribution

Indexed keywords

DATABASE SYSTEMS; DECISION MAKING; DECISION THEORY; DECISION TREES; ELECTRIC POWER MEASUREMENT; ELECTRICITY; MATHEMATICAL MODELS; NETWORK PROTOCOLS; NEURAL NETWORKS; NORMAL DISTRIBUTION; PARTIAL DISCHARGES; SENSOR NETWORKS; WEIBULL DISTRIBUTION;

ACCURACY; CLASSIFICATION ACCURACIES; CLASSIFICATION TOOLS; DECISION TREE METHODS; DIAGNOSING SYSTEMS; ELECTRIC POWER APPARATUSES; FEATURE VARIABLES; GENERALIZED NORMAL DISTRIBUTION; GIS; HIGH ACCURACIES; LABORATORY USING; MISCLASSIFICATION RATES; POW; PRE-PROCESSING; UNDERLYING DISTRIBUTIONS;

FEATURE EXTRACTION;

EID: 54949114686     PISSN: 10709878     EISSN: None     Source Type: Journal    
DOI: 10.1109/TDEI.2008.4656232     Document Type: Article

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