Intelligent Fault Detection of Electrical Distribution Networks Using Thermo Vision Technique

This paper presents a new intelligent method for electrical equipment fault detection in power distribution networks based on thermo images by using of Legendre Moment (LM) for feature extraction and neural network for classifier. There are several types of faults in substations which transformer bushing breakdown, loose connection between conductor and section insulator, fuse deficiency and destruction of cable bug are the most commonly faults in substations that have been selected in this paper. This method has been conducted on practical thermo images from the electrical distribution network of Tehran. Simulation results indicate the validity of approach method with accuracy of 97.2 percentages using of MLP neural network

Keywords:

Distribution Networks , Intelligent Fault Detection , Neural Network , Thermo Vision , Legendre moment