The paper describes a method of recognizing partial discharge characteristics for three kinds of electrode systems. The method uses a neural network system with input signal of φ-q-n distribution patterns. The φ-q-n distribution consists of the pulse count [n] versus pulse height [q] and phase angle [φ]. 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.
|Number of pages||10|
|Journal||IEE Proceedings: Science, Measurement and Technology|
|Publication status||Published - 1995 Jan 1|
ASJC Scopus subject areas
- Electrical and Electronic Engineering