Research on HV-Power Equipment Diagnosis by Infrared Image Edge Detection

被引：0
|
作者：
Li, Huangqiang [1 ]
Sun, Yunlian [1 ]
Li, Hong [2 ]
机构：
[1] Wuhan Univ, Sch Elect Engn, Wuhan 430072, Peoples R China
[2] Univ Elect Sci & Technol China, Coll Automat, Chengdu, Peoples R China
来源：
2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7 | 2009年
关键词：
state monitoring; fault diagnosis; power equipment; edge detection; quantum computing;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
As a method of fault diagnosis and state monitoring for HV-power equipments, infrared image analysis has been applied while edge detection is a crucial step of this image application. In this paper, a novel edge detection based on quantum-inspired is proposed. Quantum-inspired edge detection (QIED) is based on concepts and principles of quantum computing such as quits and superposition of states. And detailed process of this method and result using in power equipment infrared image are given. The experiment result shows that compared with conventional edge detection QIED can extract more useful information for fault diagnosis.
引用
收藏
页码：3634 / +
页数：2
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