Application of Mathematical Morphology in GIS PD Signal Analysis

DOI

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/).

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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  - 10.2991/epee-16.2016.52
ID  - Liu2016/10
ER  -