Fault Diagnosis System Identification Based on Impedance Matching Balance Transformer

DOI

10.2991/amsee-16.2016.46How to use a DOI?

Keywords

system identification; impedance matching balance transformer; fault diagnosis

Abstract

Impedance matching balance transformer is often used as the main electrified railway traction substation transformer. In order to solve the problem that traditional fault diagnosis method could not accurately identify the internal or external failure, it is proposed an identification algorithm of recursive least square parameter estimation online to distinguish the internal fault from external fault, which is based on that the winding resistance and short circuit reactance values have not been changed in normal operation for impedance matching balance transformer or external fault, but they have been changed for internal fault. The curves of simulation proved that the proposed algorithm could effectively distinguish internal fault from external fault. The research results show the feasibility to identify two sorts of different faults.

Copyright

© 2016, 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)

TY  - CONF
AU  - Yanjun Ren
AU  - Xinli Deng
PY  - 2016/04
DA  - 2016/04
TI  - Fault Diagnosis System Identification Based on Impedance Matching Balance Transformer
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 168
EP  - 172
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.46
DO  - 10.2991/amsee-16.2016.46
ID  - Ren2016/04
ER  -