Title :
Neural network application in PD pattern analysis
Author :
Blackburn, T.R. ; Phung, B.T. ; James, R.E. ; Hilder, D.
Author_Institution :
New South Wales Univ., Kensington, NSW, Australia
Abstract :
The Computerised Discharge Analyser (CDA3) is a PC-based data acquisition system. It captures in real-time individual PD pulses from the output of a conventional analogue discharge detector. Integrated analysis of the raw data is carried out by software. It was shown that automatic recognition of the PD patterns is possible with the use of a neural network. The input to the network can be the bivariate phase-resolved distributions. Its size can be reduced by feeding the network with pre-processed data such as the statistical moments of the univariate distributions or the IEC-270 integrated quantities
Keywords :
charge measurement; computerised instrumentation; data acquisition; microcomputer applications; neural nets; partial discharges; pattern recognition; signal processing equipment; Computerised Discharge Analyser; IEC-270 integrated quantities; PC-based data acquisition; PD pattern analysis; analogue discharge detector; automatic recognition; bivariate phase-resolved distribution; insulation testing; integrated analysis; neural network application; partial discharge; preprocessed data; real-time; statistical moments; univariate distributions;
Conference_Titel :
Partial Discharge, 1993., International Conference on
Conference_Location :
Canterbury
Print_ISBN :
0-85296-579-6
