PARTIAL DISCHARGE PULSE DISTRIBUTION PATTERN-ANALYSIS

被引：33
|
作者：
TANAKA, T [1 ]
机构：
[1] KYUSHU UNIV,KONAE RES LAB,KONAE,TOKYO 201,JAPAN
来源：
IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY | 1995年 / 142卷 / 01期
关键词：
NEURAL NETWORK ALGORITHMS; INSULATION DIAGNOSIS;
D O I：
10.1049/ip-smt:19951561
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Statistical data analysis has been recently requisite for partial discharge (PD) study. This has been enabled by the recent development of microprocessors or the downsizing of computers. It is important to pay more attention to profiles of a packet of PD pulses on the voltage phase angle. Statistical parameters such as skewness and kurtosis have been intensively investigated for PD analysis. More recently, the neural network algorithm has been utilised especially to discriminate PD signals from noise signals for insulation diagnosis.
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页码：46 / 50
页数：5
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