DocumentCode :
3045809
Title :
The classification and recognition of power quality disturbance based on S transform
Author :
Rui, Zhang ; Tao, Zhang ; Hongjiao, Yao ; Sheng, Liu
Author_Institution :
Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
Volume :
2
fYear :
2012
fDate :
18-20 May 2012
Firstpage :
663
Lastpage :
667
Abstract :
For the classification and recognition of power quality disturbances, a method based on principle of maximum information entropy is proposed in this paper. The corn of it is that, using S-transform to establish standard mode time-frequency matrix of various disturbances and obtaining information entropy of standard disturbances by probability density distribution of matrix amplitude. The correct classification has been realized by approaching degree of disturbance signal´s information entropy with the standard disturbances´ entropy. The simulation results show that the approach has better anti interference performance and in the condition of low SNR, classification results are also acceptable.
Keywords :
entropy; power supply quality; probability; signal classification; S-transform; antiinterference performance; disturbance signal; maximum information entropy; power quality disturbance; probability density distribution; standard mode time frequency matrix; Entropy; Information entropy; Power quality; Standards; Time frequency analysis; Transforms; Voltage fluctuations; S transform; feature extraction; information entropy; power quality disturbances;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (MIC), 2012 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1601-0
Type :
conf
DOI :
10.1109/MIC.2012.6273380
Filename :
6273380
Link To Document :
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