Application of Mathematical Morphology in GIS PD Signal Analysis
- https://doi.org/10.2991/epee-16.2016.52How to use a DOI?
- GIS; PD; morphological; de-nosing
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.
- © 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 -