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

fYear

1993

fDate

28-30 Sep 1993

Firstpage

82

Lastpage

83

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;

fLanguage

English

Publisher

iet

Conference_Titel

Partial Discharge, 1993., International Conference on

Conference_Location

Canterbury

Print_ISBN

0-85296-579-6

Type

conf

Filename

341427