Classification of transient power quality disturbance based on S-transform and fuzzy KNN

DOI

10.2991/icmmcce-15.2015.205How to use a DOI?

Keywords

Transient power quality disturbance; Intelligent classification; S-transform; Fuzzy KNN

Abstract

This paper proposed a new method to classify transient power quality disturbances using S-transform and K-Nearest Neighbor classifier. First, S-transform was applied to perform time-frequency analysis on the power quality disturbance signals, and the S-transform mode time-frequency matrix was achieved from the S-transform, and we got 8 valid features extracted from the matrix, then the feature vectors who consisted of the former features were input into the Fuzzy KNN classifier to perform the disturbing signals intelligent classification, then completed the intelligent classification for six types of transient power quality disturbances signals. The result showed that the structure of the proposed method was simple, the number of the needed features was little and it was doing well in classifying these types of transient power quality disturbances.

Copyright

© 2015, 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  - Hong Men
AU  - Jia Liu
AU  - Yilong Hao
AU  - Chunlai Li
PY  - 2015/12
DA  - 2015/12
TI  - Classification of transient power quality disturbance based on S-transform and fuzzy KNN
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 994
EP  - 999
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.205
DO  - 10.2991/icmmcce-15.2015.205
ID  - Men2015/12
ER  -