Pattern Recognition Method of PD Signals Based on Fuzzy Clustering

DOI

10.2991/cnct-16.2017.88How to use a DOI?

Keywords

Pattern recognition, Fuzzy clustering, Hierarchical clustering method.

Abstract

Fuzzy clustering is a technique which adopts the fuzzy mathematics method to build up faintness relations on the basis of signal features. In this paper, two methods adopting fuzzy hierarchical clustering and fuzzy equivalent matrix method for distinguishing the partial discharge(PD) signals are demonstrated and rather efficient for pattern recognition of the PD signals appearing in the high voltage apparatus, and having great application prospect in the futhure.

Copyright

© 2017, 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  - Zhi-Gang REN
AU  - Wei LI
AU  - Wen-Jie JIN
AU  - Yao CHE
AU  - Song-Lin ZHOU
AU  - Dian-Chun ZHENG
AU  - Lan-Xiang HE
PY  - 2016/12
DA  - 2016/12
TI  - Pattern Recognition Method of PD Signals Based on Fuzzy Clustering
BT  - Proceedings of the International Conference on Computer Networks and Communication Technology (CNCT 2016)
PB  - Atlantis Press
SP  - 639
EP  - 643
SN  - 2352-538X
UR  - https://doi.org/10.2991/cnct-16.2017.88
DO  - 10.2991/cnct-16.2017.88
ID  - REN2016/12
ER  -