Using partial discharge as sample signal source to identify contamination moisture pattern in power transformer insulating oil

The properly behavior of power transformers is highly dependent of the insulation health. So, the insulation condition assessment can provide information to a system of diagnosis and prognosis, allowing for planning interventions at the appropriate time to avoid unexpected interruptions. This paper...

Full description

Saved in:
Bibliographic Details
Published inIECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society pp. 1041 - 1044
Main Authors Veloso, G F C, da Silva, L E B, Noronha, I, Torres, G L
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Acoustics
Discrete wavelet transforms
Moisture
Partial discharges
Petroleum
Power transformers
Online AccessGet full text

Cover

More Information
Summary:The properly behavior of power transformers is highly dependent of the insulation health. So, the insulation condition assessment can provide information to a system of diagnosis and prognosis, allowing for planning interventions at the appropriate time to avoid unexpected interruptions. This paper presents a technique that can detect moisture contamination in the insulating oil using acoustic signals of partial discharge. In this work, a piezoelectric sensor is mounted in a reservoir with insulating oils with different levels of moisture. A device to simulate partial discharges is immersed in those oils. The detected signals are processed using Discrete Wavelet Transform to extract time-frequency characteristics which are processing using the Principal Component Analysis in order to identify patterns of water content in insulating oil. The results are presented and the methodology has shown a very good technique to be implemented as on line monitoring system.
ISBN:9781424452255
1424452252
ISSN:1553-572X
DOI:10.1109/IECON.2010.5675511