DocumentCode :
2245179
Title :
Separation of partial discharges from pulse shaped noise signals with the help of neural networks
Author :
Borsi, H. ; Gockenbach, E. ; Wenzel, D.
Author_Institution :
Hannover Univ., Germany
fYear :
1993
fDate :
28-30 Sep 1993
Firstpage :
47
Lastpage :
48
Abstract :
The paper introduces a method to separate Partial Discharges (PD) from pulse shaped noise signals using a neural network. After a short introduction of the applied neural network, its ability to classify PD and pulse shaped noise is demonstrated on simulated PD and noise pulses. Furthermore, with the help of signals injected at different points of a transformer coil, the possibilities and limits of the neural network used for a distinction of pulses is shown. The paper ends with a presentation of the first results of the neural network in the classification of signals measured on a power transformer
Keywords :
electric noise measurement; insulation testing; neural nets; partial discharges; power transformer insulation; power transformer testing; neural networks; partial discharges; power transformer; pulse shaped noise signals; signal classification; simulation; transformer coil;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Partial Discharge, 1993., International Conference on
Conference_Location :
Canterbury
Print_ISBN :
0-85296-579-6
Type :
conf
Filename :
341440
Link To Document :
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