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Short circuits detection in double sourced electrical lines. Part I ‒ DWT databese preparation

Publication date: 2012

Technical Transactions, 2012, Electronical Engineering Issue 1-E (24) 2012, pp. 77-92

https://doi.org/10.4467/2353737XCT.14.032.1809

Authors

Bartosz Rozegnał
Institute of Electromechanical Energy Conversion, Faculty of Electrical and Computer Engineering, Cracow University of Technology
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Titles

Short circuits detection in double sourced electrical lines. Part I ‒ DWT databese preparation

Abstract

This paper presents an attempt to detect short circuits in double sourced electrical lines by discrete wavelet transform. First part of this talk describes a database preparation which is created by dynamic simulation base on model of double sourced transmission line. In order to choose the right model a comparison of two different represent of line has been made. In first one, transmission line is represented by two four-poles, and the second one is represented by n-four poles. Steady state’s analyses of different kinds of short-cuts show that two four-poles model line with acceptable precision. Simulation’s results for all kinds of short-cuts create a vast database. The database can be used to project detection algorism based on discrete wavelet transformation.

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Information

Information: Technical Transactions, 2012, Electronical Engineering Issue 1-E (24) 2012, pp. 77-92

Article type: Original article

Titles:

Polish:

Short circuits detection in double sourced electrical lines. Part I ‒ DWT databese preparation

English:

Short circuits detection in double sourced electrical lines. Part I ‒ DWT databese preparation

Authors

Institute of Electromechanical Energy Conversion, Faculty of Electrical and Computer Engineering, Cracow University of Technology

Published at: 2012

Article status: Open

Licence: None

Percentage share of authors:

Bartosz Rozegnał (Author) - 100%

Article corrections:

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Publication languages:

Polish

Short circuits detection in double sourced electrical lines. Part I ‒ DWT databese preparation

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