Research on HV-power equipment diagnosis by infrared image edge detection

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.