DocumentCode :
2970858
Title :
Nonstationary power signal processing and pattern recognition using genetic algorithm
Author :
Biswal, B. ; Dash, P.K. ; Panigrahi, B.K. ; Panda, T.K. ; Hasan, S.
Author_Institution :
Silicon Inst. of Technol., Delhi
fYear :
2007
fDate :
10-13 Dec. 2007
Firstpage :
1
Lastpage :
5
Abstract :
A new approach to time frequency transform and pattern recognition of non-Stationary power signals is presented in this paper. In the proposed work Visual localization, detection and classification of non-stationary power signals are achieved using HS-Transform and automatic pattern recognition is carried out using fuzzy C-means based Genetic algorithm. Time frequency analysis and Feature extraction from the non- stationary power signals is done by HS-Transform. Once the feature vectors are extracted is used for pattern recognition of various non-Stationary signals. Various non-stationary power signals are processed through HS-transform with hyperbolic window to generate time-frequency contours for extracting relevant features for pattern classification. The extracted features are clustered using fuzzy C-means algorithm and finally the algorithm is extended using Genetic algorithm to refine the cluster centers. The average classification accuracy of the disturbances is 93.25% and 95% using fuzzy C-means and Genetic based fuzzy C-means algorithm, respectively.
Keywords :
feature extraction; fuzzy set theory; genetic algorithms; pattern recognition; signal classification; signal detection; time-frequency analysis; transforms; HS-transform; feature extraction; feature vectors; fuzzy C-means; genetic algorithm; hyperbolic window; nonstationary power signal processing; pattern recognition; signals classification; signals detection; time frequency transform; time-frequency contours; visual localization; Clustering algorithms; Feature extraction; Genetic algorithms; Pattern classification; Pattern recognition; Power generation; Signal generators; Signal processing; Signal processing algorithms; Time frequency analysis; Genetic algorithm; HS-transform; Non-stationary power signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
Type :
conf
DOI :
10.1109/ICICS.2007.4449543
Filename :
4449543
Link To Document :
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