ELECTRIC WIRE INSPECTION BY DISCRIMINANT ANALYSIS METHOD

被引：0

作者：

Kishida, Toshifumi ^{[1
]}

Higuchi, Mizuki ^{[1
]}

Egawa, Tadahito ^{[2
]}

Taniguchi, Kazuhiko ^{[2
]}

Hata, Yutaka ^{[1
]}

机构：

[1] Univ Hyogo, Grad Sch Simulat Studies, Kobe, Hyogo, Japan

[2] Kinden Cooperat, Tokyo, Japan

来源：

PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1 | 2017年

关键词：

Automatic extracting; Discriminant analysis method;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper described a method of automatic extraction of abnormal points from electric cable. The cable changes the color depending on the weather, environment and used period. We define low brightness area and classify size of it. We divide them into abnormal and normal with discriminant analysis method. As the result, we can detect all arc-marks for no rust cables. On the other hand, we can detect almost all arc-mark and much rust for rust cables. We examined that discriminant analysis method successfully detected abnormal points automatically.

引用

页码：251 / 254

页数：4

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