The evaluation of neural networks application for recognizing single-source PD forms generated in paper-oil insulation systems based on the AE signal analysis

. The genesis of the research work presented in this paper constitutes the issue of the effective and efficient recognition of single-source one-time partial discharge (PD) forms that can occur in insulation systems of power transformers. The paper presents research results referring to the use of s...

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Bibliographic Details
Published in:The European physical journal. ST, Special topics Special topics, 2008-02, Vol.154 (1), p.23-29
Main Authors: Borucki, S., Boczar, T., Cichon, A., Lorenc, M.
Format: Article
Language:English
Subjects:
Atomic
Classical and Continuum Physics
Condensed Matter Physics
Materials Science
Measurement Science and Instrumentation
Molecular
Optical and Plasma Physics
Physics
Physics and Astronomy
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Summary:. The genesis of the research work presented in this paper constitutes the issue of the effective and efficient recognition of single-source one-time partial discharge (PD) forms that can occur in insulation systems of power transformers. The paper presents research results referring to the use of single-direction neural networks (SNN) for recognizing basic PD forms that can occur in paper-oil insulation impaired by aging processes. The research work results presented show the recognition effectiveness of basic PD forms depending on the descriptor of the analysis of the acoustic emission (AE) signal analysis.
ISSN:1951-6355
1951-6401
DOI:10.1140/epjst/e2008-00512-7