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

Power Transformer Partial Discharge Signal De-noising Based on Variational Mode Decomposition

Authors
Lei Zhao, Chungeng Li, Yongli Zhu, Xu Chen, Xiaohong Guo, Yanfeng Gao
Corresponding Author
Lei Zhao
Available Online April 2015.
DOI
https://doi.org/10.2991/isrme-15.2015.167How to use a DOI?
Keywords
transformer, partial discharge, VMD, signal de-noising.
Abstract

Partial discharge (PD) signals is one of the key means to judge the transformer fault, how to effectively remove interference of PD in the field is the key in PD monitoring. Based on the Hilbert transform, this paper proposes a new algorithm of signal decomposition of Variational Mode Decomposition (VMD) by using the de-noising in transformer PD signal, VMD can decompose signal into several modes, and each of them is compact around a center pulsation. The simulation results show that the proposed method can well remove the narrow-band periodic interference and white noise, and keep the partial discharge signal, verify the validity of VMD.

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
978-94-62520-59-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/isrme-15.2015.167How 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  - Lei Zhao
AU  - Chungeng Li
AU  - Yongli Zhu
AU  - Xu Chen
AU  - Xiaohong Guo
AU  - Yanfeng Gao
PY  - 2015/04
DA  - 2015/04
TI  - Power Transformer Partial Discharge Signal De-noising Based on Variational Mode Decomposition
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 819
EP  - 822
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.167
DO  - https://doi.org/10.2991/isrme-15.2015.167
ID  - Zhao2015/04
ER  -