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131790

EXPERIMENTAL INVESTIGATION OF POWER TRANSFORMERS PROTECTION USING WAVELETS AND PATTERN RECOGNITION TECHNIQUES

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Last updated: 24 Dec 2024

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Abstract

  A few papers have been interested in the experimental investigation for the transformer protection; in this paper a real time laboratory investigation for power transformer protection is presented. A transformer of (5 KVA, 220/110 V) is used to represent a power transformer. The current transducers are used to transfer the primary and secondary current signals of the tested transformer to the data acquisition system connected to pc by sampling frequency of 10 kHz. Lab- View package is used as software. The protection algorithm based on wavelet transform and pattern recognition (support vector machine) as described in [21]. The experimental results indicate that it are compatible with the simulated results and the proposed technique is stable, reliable, and fast during the discrimination between internal and external faults, magnetizing inrush currents, and switching on internal faults, so, the proposed technique can be used in the real time applications.

DOI

10.21608/erj.2020.131790

Keywords

Power transformer, Wavelet Transform, Support Vector Machine, Lab-View and experimental setup

Authors

First Name

A.

Last Name

S. Abd-Elatif

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Affiliation

Helwan University, Faculty of Engineering, Dept. of Electrical Power & Machines Engineering, Cairo, Egypt.

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Volume

165

Article Issue

0

Related Issue

19632

Issue Date

2020-03-01

Receive Date

2020-12-23

Publish Date

2020-03-01

Page Start

1

Page End

13

Print ISSN

1110-5615

Article File

ERJ_Volume 165_Issue 0_Pages 1-13.pdf

PDF . 1.1MB

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https://erj.journals.ekb.eg/article_131790.html

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https://erj.journals.ekb.eg/service?article_code=131790

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Original Article

Type Code

998

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Journal

Publication Title

Engineering Research Journal

Publication Link

https://erj.journals.ekb.eg/

MainTitle

EXPERIMENTAL INVESTIGATION OF POWER TRANSFORMERS PROTECTION USING WAVELETS AND PATTERN RECOGNITION TECHNIQUES

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Article

Created At

22 Jan 2023