Research on Insulator Leakage Current Data Analysis Based on DBClustering

DOI

10.2991/iceeecs-16.2016.154How to use a DOI?

Keywords

insulator leakage current, feature extraction, density clustering

Abstract

In order to analyze the operating condition of the leakage current of the insulator effectively, a cluster structure clustering algorithm based on density named DBClustering is designed. In this paper, four characteristic values of leakage current are extracted from the two aspects of leakage current in time domain and frequency domain, then the leakage current data sample set is formed, after that DBClustering algorithm was used to cluster and analyze this set . By extracting and analyzing the leakage current data collected in the laboratory, corresponding experiments show that the algorithm is superior to the traditional density clustering algorithm in terms of time and space consumption, and it is helpful to analyze the state of leakage current assessment and flashover studies.

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  - Baoyi Wang
AU  - Chenjing Lv
AU  - Shaomin Zhang
PY  - 2016/12
DA  - 2016/12
TI  - Research on Insulator Leakage Current Data Analysis Based on DBClustering
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 781
EP  - 787
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.154
DO  - 10.2991/iceeecs-16.2016.154
ID  - Wang2016/12
ER  -