Classification of PD patterns from multiple defects

In this work, two approaches were proposed for the recognition of partial discharge patterns. The first approach was neural network with back-propagation algorithm, and the second approach was angle calculation between two operator vectors. PD signals were detected using three electrode systems; IEC(b), needle-plane and CIGRE method II electrode system. Both of neural network and angle comparison method showed good recognition performance for the patterns similar to the trained patterns