A Novel 10kV XLPE Cable Failure Prediction Method

被引：0

作者：

Mao Jun ^{[1
]}

Tang HuiDong ^{[1
]}

机构：

[1] ShenZhen Power Supply Co, Shenzhen 518000, Peoples R China

来源：

MACHINERY, MATERIALS SCIENCE AND ENERGY ENGINEERING | 2015年

关键词：

Deficiency; Failure; Correlation analysis; 10kV; XLPE cable; Failure prediction;

D O I：

暂无

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：

The purpose of this study was to predict 10kV cable failures based on deficiency data, and provide data basis for maintenance adjustment. Deficiency Data Analysis ( DTA) tree is built on history data. Then probability distribution of deficiency and failure data is constructed considering the family characteristics. Kullback-Leibler distance is used to analyze the correlation between deficiency and failure, which is used to predict failure based on monitoring and testing data. Shenzhen Nanshan power supply company adopted the algorithm analysis achievement, as a result, the cable failure number drop 18% comparing to last year. It is proved that this algorithm can be used to predict malfunctions of cables, then according maintenance could be carried out and enhance system reliability.

引用

页码：58 / 64

页数：7

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