Research of Electrical Equipment State Identification Based on K-means Clustering Algorithm

DOI

10.2991/cset-16.2016.46How to use a DOI?

Keywords

Electrical equipment, on-line monitoring, current signal, clustering algorithm, state recognition

Abstract

For the current heavy manual monitoring work and frequent failure of electrical equipment, an online monitoring scheme for equipment state based on current sensor, WIFI communication module and embedded development board is designed. K-means clustering algorithm is used to analyze the current data set collected from different working status of the equipment, and the corresponding characteristic value is obtained. And then the automatic identification of the equipment working status is realized. The experimental results show that this method can quickly recognize the equipment operation status with high accuracy, and working stability.

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/).

Download article (PDF)

TY  - CONF
AU  - Liting Lei
AU  - Hui Xu
AU  - Rongrong Fan
PY  - 2016/08
DA  - 2016/08
TI  - Research of Electrical Equipment State Identification Based on K-means Clustering Algorithm
BT  - Proceedings of the 2016 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 196
EP  - 200
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.46
DO  - 10.2991/cset-16.2016.46
ID  - Lei2016/08
ER  -