Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods

Transformer Defect Data Analysis Based on Data Mining Technology

Authors
Feng Li, Hongbin Wang, Kun Feng
Corresponding Author
Feng Li
Available Online November 2015.
DOI
10.2991/tmcm-15.2015.40How to use a DOI?
Keywords
data mining; transformer; defect data
Abstract

Using data mining technology to transformer operation analysis of the defects in the process of data mining, mainly for the entire network analysis of the defect data transformer account, defects, fault, environment and other information. Analysis mainly from the state information of equipment, equipment status, the relationship with their own attribute and the external environment, in order to obtain the associated factors influencing the equipment status, for the maintenance strategy optimization, equipment update strategy, manufacturers technical evaluation and other production and management decision-making to provide information support.

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)

Volume Title
Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/tmcm-15.2015.40
ISSN
2352-538X
DOI
10.2991/tmcm-15.2015.40How 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

TY  - CONF
AU  - Feng Li
AU  - Hongbin Wang
AU  - Kun Feng
PY  - 2015/11
DA  - 2015/11
TI  - Transformer Defect Data Analysis Based on Data Mining Technology
BT  - Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods
PB  - Atlantis Press
SP  - 164
EP  - 169
SN  - 2352-538X
UR  - https://doi.org/10.2991/tmcm-15.2015.40
DO  - 10.2991/tmcm-15.2015.40
ID  - Li2015/11
ER  -