Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference

<Previous Article In Volume
Next Article In Volume>

Fault Diagnosis of Power Transformer Based on Memristive Neural Network

Authors
Xun Wang
Corresponding Author
Xun Wang
Available Online May 2015.
DOI
10.2991/ipemec-15.2015.202How to use a DOI?
Keywords
Transformer; Memristor; Fault diagnosis; Neural network
Abstract

Memristive neural network is applied to fault diagnosis of power transformer in this paper. A model of memristive neural network built by MATLAB Simulink can be used to diagnose and analyze the failure information. Experimental results show that the proposed method can achieve better results and has a certain value.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
Series
Advances in Engineering Research
Publication Date
May 2015
ISBN
10.2991/ipemec-15.2015.202
ISSN
2352-5401
DOI
10.2991/ipemec-15.2015.202How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Xun Wang
PY  - 2015/05
DA  - 2015/05
TI  - Fault Diagnosis of Power Transformer Based on Memristive Neural Network
BT  - Proceedings of the 2015 International Power, Electronics and Materials Engineering Conference
PB  - Atlantis Press
SP  - 1093
EP  - 1097
SN  - 2352-5401
UR  - https://doi.org/10.2991/ipemec-15.2015.202
DO  - 10.2991/ipemec-15.2015.202
ID  - Wang2015/05
ER  -