Proceedings of the 2016 International Conference on Communications, Information Management and Network Security

Partial Discharge Signal De-noising Method Based on EMD and High Order PDE

Authors
Ganggang Zhao, Fujiang Mo, Hui Chen, Peipei Wang, Mengsu Xu
Corresponding Author
Ganggang Zhao
Available Online September 2016.
DOI
10.2991/cimns-16.2016.8How to use a DOI?
Keywords
partial discharge signal; EMD; PDE; de-nosing
Abstract

The voltage level of power system is continuously improved. Partial discharge (PD) test is an important means to detect the insulation performance of high voltage electrical equipment. The electromagnetic environment of the test site is complicated. The extracted PD signal is submerged by noise. In order to get a more real PD signal, noise removal is inevitable. Aiming at this aspect, this paper proposes using empirical mode decomposition (EMD) and high order partial differential equation (PDE) to suppress the interference signal. The simulation results show that using this method to deal with the effect of PD signal is very obvious.

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/).

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Volume Title
Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-247-3
ISSN
2352-538X
DOI
10.2991/cimns-16.2016.8How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Ganggang Zhao
AU  - Fujiang Mo
AU  - Hui Chen
AU  - Peipei Wang
AU  - Mengsu Xu
PY  - 2016/09
DA  - 2016/09
TI  - Partial Discharge Signal De-noising Method Based on EMD and High Order PDE
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 29
EP  - 32
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.8
DO  - 10.2991/cimns-16.2016.8
ID  - Zhao2016/09
ER  -