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

Author

Li, Huangqiang ; Sun, Yunlian ; Li, Hong

Author_Institution

Sch. of Electr. Eng., Wuhan Univ., Wuhan

fYear

2009

fDate

27-31 March 2009

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

condition monitoring; edge detection; fault diagnosis; high-voltage engineering; infrared imaging; power apparatus; power engineering computing; quantum computing; HV-power equipment diagnosis; QIED; fault diagnosis; infrared image edge detection; quantum computing; quantum-inspired edge detection; state monitoring; Computerized monitoring; Data mining; Fault diagnosis; Feature extraction; Image edge detection; Infrared detectors; Infrared imaging; Infrared surveillance; Quantum computing; Quantum mechanics;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific

Conference_Location

Wuhan

Print_ISBN

978-1-4244-2486-3

Electronic_ISBN

978-1-4244-2487-0

Type

conf

DOI

10.1109/APPEEC.2009.4918691

Filename

4918691