Title :
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
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;
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
DOI :
10.1109/APPEEC.2009.4918691
