Olasiliksal sinir aǧlari ile elektriksel boşalma sesinden gerilim düzeyinin belirlenmesi

Translated title of the contribution: Determination of voltage level from electrical discharge sound by probabilistic neural network

Özean Kalenderli*, Bülent Bolat, Suna Bolat

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this study, a different signal recognation approximation is presented to determine applied voltage value using sound records of the electrical discharges (coronas) by a probabilistic neural network. Sound records are obtained experimentally from the electrical discharges at different 50 Hz AC high-voltage levels. Parts of the recording time on the recorded sound has been used to training and test sets of the probabilistic neural network. One of the goals of this work is to determine voltage value from the sound data, and other is optimization of data and diagnostic for less data used and to find correct voltage value. In the algorithmical method, lineer prediction coefficients of the different degrees are used. It is shown that the results can be accepted for the work goals.

Translated title of the contributionDetermination of voltage level from electrical discharge sound by probabilistic neural network
Original languageTurkish
Title of host publication2006 IEEE 14th Signal Processing and Communications Applications Conference
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE 14th Signal Processing and Communications Applications - Antalya, Turkey
Duration: 17 Apr 200619 Apr 2006

Publication series

Name2006 IEEE 14th Signal Processing and Communications Applications Conference
Volume2006

Conference

Conference2006 IEEE 14th Signal Processing and Communications Applications
Country/TerritoryTurkey
CityAntalya
Period17/04/0619/04/06

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