ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
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Paper Title
DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER
Authors
A C Shri Nandhny , Dr.R.Subasri
Keywords
: Dissolved Gas Analysis, Extreme Learning Machine, Feature Selection and Classification, Power Transformer, Rapidminer.
Abstract
Reliability of power system could be very essential to generate and transmit energy. Power transformer is one of the most important electric apparatus and therefore it need to be saved in good state. The incipient fault identification and classification is a major research area. The dissolved gas analysis (DGA) is a technique being extensively used to find out incipient faults but diverse strategies had been developed to analyze DGA effects, they will once in a while fail to diagnose exactly. The accurate identification of incipient fault using numerous artificial intelligence (AI) is varied with variation of input parameters. Principle Component Analysis using Rapidminer Software is applied to IEC TC10 databases and associated datasets to find out most influencing input parameters for incipient fault classification. Further, one of the Machine learning algorithm namely Extreme Learning Machine (ELM) is implemented to categorize the power transformer incipient faults accurately.
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IJCRT — journal style
"DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.6, Issue 1, page no.1488-1493, February 2018, Available :https://ijcrt.org/papers/IJCRT1802638.pdf
APA — 7th edition
Nandhny, A. C. S., & Dr.R.Subasri. (2018). DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER. International Journal of Creative Research Thoughts, 6(1), 1488-1493. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638
MLA — 9th edition
Nandhny, A C Shri, and Dr.R.Subasri. "DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER." International Journal of Creative Research Thoughts, vol. 6, no. 1, 2018, pp. 1488-1493, https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638.
Chicago — 17th, bibliography
Nandhny, A C Shri, and Dr.R.Subasri. "DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER." International Journal of Creative Research Thoughts 6, no. 1 (2018): 1488-1493. https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638.
Harvard — author–date
Nandhny, A.C.S. and Dr.R.Subasri (2018) 'DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER', International Journal of Creative Research Thoughts, 6(1), pp. 1488-1493. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638
IEEE — numbered reference
A. C. S. Nandhny and Dr.R.Subasri, "DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER," IJCRT, vol. 6, no. 1, pp. 1488-1493, Mar. 2018.
Vancouver — biomedical
Nandhny ACS, Dr.R.Subasri. DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER. IJCRT. 2018 Mar;6(1):1488-1493.
AMA — 11th edition
Nandhny ACS, Dr.R.Subasri. DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER. IJCRT. 2018;6(1):1488-1493. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT1802638,
author = {A C Shri Nandhny and Dr.R.Subasri},
title = {DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER},
journal = {International Journal of Creative Research Thoughts},
volume = {6},
number = {1},
pages = {1488-1493},
year = {2018},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Nandhny, A C Shri
AU - Dr.R.Subasri
TI - DESIGN OF MACHINE LEARNING ALGORITHM FOR FAULT DIAGNOSIS IN POWER TRANSFORMER
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 6
IS - 1
PY - 2018
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638
SP - 1488
EP - 1493
ER -
Issue
Volume 6 Issue 1,
March-2018
Pages : 1488-1493
Article Information
- Pages
- 1488-1493
- Published
- March 2018
- Registration ID
- IJCRT_183346
- Published Paper ID
- IJCRT1802638
- Research Area
- Science & Technology
- Author Type
- Indian Author
- Location
- Erode, Tamil nadu, 638051
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 1,316
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT1802638
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT1802638.pdf
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