Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering

Application of Mathematical Morphology in GIS PD Signal Analysis

Authors
Qi Liu, Qiang Gao
Corresponding Author
Qi Liu
Available Online October 2016.
DOI
https://doi.org/10.2991/epee-16.2016.52How to use a DOI?
Keywords
GIS; PD; morphological; de-nosing
Abstract

In order to solve the problem that with the interference of on-site GIS to PD signals, the type diagnosis and fault location of insulation defect are affected. This paper proposed a new morphological filtering algorithm based on morphological filtering theory is proposed, which combines the basic operations of erosion, dilation, morphological open and morphological close and constructed a new combined morphological filter algorithm for GIS signal de-noising. Through filtering the simulated noised PD pulse, the results showed that morphological filtering can not only remove white noise effectively, but also suppress the narrow-band interference effectively. Three sets of evaluation indexes are introduced and compared with the wavelet de-noising method, and the effectiveness of morphological filtering in suppressing noise and extracting PD pulse is verified.

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)

Volume Title
Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/epee-16.2016.52
ISSN
2352-5401
DOI
https://doi.org/10.2991/epee-16.2016.52How 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  - Qi Liu
AU  - Qiang Gao
PY  - 2016/10
DA  - 2016/10
TI  - Application of Mathematical Morphology in GIS PD Signal Analysis
BT  - Proceedings of the 2016 International Conference on Energy, Power and Electrical Engineering
PB  - Atlantis Press
SP  - 232
EP  - 235
SN  - 2352-5401
UR  - https://doi.org/10.2991/epee-16.2016.52
DO  - https://doi.org/10.2991/epee-16.2016.52
ID  - Liu2016/10
ER  -