Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

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Research on Power Grid Fault Diagnosis Based on SVM

Authors
Huijun Ni, Tianli Ni
Corresponding Author
Huijun Ni
Available Online April 2015.
DOI
10.2991/isrme-15.2015.196How to use a DOI?
Keywords
Power Network, Fault Diagnosis, Support Vector Machine,SVM.
Abstract

By analyzing relative literatures and building a simulation model, this paper finishes the analyzing of fault waveforms and studies fault characteristics from the perspective of signal synthesis.With one-to–many SVM, the image extract features and features is identified to training Sample and recognizing sample.

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/).

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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.196
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.196How 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  - Huijun Ni
AU  - Tianli Ni
PY  - 2015/04
DA  - 2015/04
TI  - Research on Power Grid Fault Diagnosis Based on SVM
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 946
EP  - 949
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.196
DO  - 10.2991/isrme-15.2015.196
ID  - Ni2015/04
ER  -