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.
No takes yet. Share an insight, caveat, or question.
Okamoto et al. (1995) studied this question.