Partial discharge pattern recognition for three kinds of model electrodes with a neural network
Tatsuki Okamoto, Toshikatsu Tanaka · IEE Proceedings - Science Measurement and Technology · 1995
The paper describes a method of recognising partial discharge characteristics for three kinds of electrode systems. The method uses a neural network system with input signal of phi -q-n distribution patterns. The phi -q-n distribution consists of the pulse count (n) versus pulse height (q) and phase angle ( phi ). The learning characteristics and recognition characteristics of the neural network were investigated. The basic characteristics of recognition capability for combined pattern signal input was shown. The effectiveness of the neural network system for partial discharge recognition was shown.