Research on the power signal processing system space discharge location

DOI

10.2991/icismme-15.2015.152How to use a DOI?

Keywords

Power processing; signal discharge; positioning research.

Abstract

Stable operation of the power system is inseparable from the normal operation of a variety of electrical equipment; partial discharge signal power processing system to determine the time difference is the basis of the PD source localization. Typical methods of feature points difference estimate the time difference, the difference based on generalized correlation time, seek time difference based on the frequency domain, the parametric model law. In this paper, starting from two aspects, one to study the application of the theory of Hilbert - Huang transform transformer partial discharge signal spectrum and marginal spectrum analysis, and has done a simulation experiment results show that the application of the transformer partial discharge fault type the recognition is very effective; on the other hand, a partial discharge of the design expert system based on fuzzy reasoning transformer, this system is built in the traditional expert systems and fuzzy inference and fuzzy reasoning is based on the an intelligent decision-making method based on fuzzy mathematics, has been widely used in various fields, intelligent fault diagnosis of this article will be applied to the transformer partial discharge. Finally, a simulation experiment, this paper for transformer fault diagnosis, especially transformer partial discharge pattern recognition has a very important reference 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/).

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TY  - CONF
AU  - Yutong Chen
AU  - Tianzheng Wang
AU  - Hua Yu
AU  - Yanpeng Li
PY  - 2015/07
DA  - 2015/07
TI  - Research on the power signal processing system space discharge location
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 733
EP  - 737
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.152
DO  - 10.2991/icismme-15.2015.152
ID  - Chen2015/07
ER  -