Research on Insulator Leakage Current Data Analysis Based on DBClustering
- https://doi.org/10.2991/iceeecs-16.2016.154How to use a DOI?
- insulator leakage current, feature extraction, density clustering
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.
- © 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 - 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 - https://doi.org/10.2991/iceeecs-16.2016.154 ID - Wang2016/12 ER -