Experimental investigation of power transformers protection using wavelets and pattern recognition techniques
Author
Source
Issue
Vol. 2020, Issue 165 (31 Mar. 2020), pp.1-13, 13 p.
Publisher
Helwan University Faculty of Engineering Mataria
Publication Date
2020-03-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Abd al-Latif, A. S. M.. 2020. Experimental investigation of power transformers protection using wavelets and pattern recognition techniques. Engineering Research Journal،Vol. 2020, no. 165, pp.1-13.
https://search.emarefa.net/detail/BIM-1336399
Modern Language Association (MLA)
Abd al-Latif, A. S. M.. Experimental investigation of power transformers protection using wavelets and pattern recognition techniques. Engineering Research Journal No. 165 (Mar. 2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1336399
American Medical Association (AMA)
Abd al-Latif, A. S. M.. Experimental investigation of power transformers protection using wavelets and pattern recognition techniques. Engineering Research Journal. 2020. Vol. 2020, no. 165, pp.1-13.
https://search.emarefa.net/detail/BIM-1336399
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1336399