DocumentCode :
1266400
Title :
Estimation of time-varying power quality indices with an adaptive window-based fast generalised S-transform
Author :
Biswal, Milan ; Dash, P.K.
Author_Institution :
Silicon Inst. of Technol., Bhubaneswar, India
Volume :
6
Issue :
4
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
189
Lastpage :
197
Abstract :
The S-transform (ST) finds widespread application in non-stationary signal analysis. However, the relatively high computational complexity of the ST remains as a challenge. Further, the optimum choice of the window function and the discretisation side effects of the ST need to be addressed for accurate time-frequency localisation. This study proposes a fast adaptive discrete generalised ST (FDGST) algorithm based on a new frequency scaling named selective frequency scaling, window cropping and an adaptive window function. The proposed algorithm optimises the shape of the window function for each analysis frequency to improve the energy concentration of the time-frequency distribution, and applies folded window functions to minimise aliasing affect owing to discretisation. Further, the algorithm is applied for analysis and measurement of parameters in various types of power quality waveforms. Standard transient and steady-state indices calculation from the FDGST analysis is also illustrated. The improved performance of the proposed algorithm is supported by simulations using synthetic as well as practical signals.
Keywords :
computational complexity; power measurement; power supply quality; time-frequency analysis; time-varying systems; transforms; FDGST algorithm; ST; adaptive window-based fast generalised S-transform; aliasing affect minimisation; computational complexity; discretisation side effect; fast adaptive discrete generalised ST algorithm; nonstationary signal analysis; parameters measurement analysis; selective frequency scaling; steady-state indices calculation; time-frequency distribution; time-frequency localisation; time-varying power quality waveform indice estimation; window cropping;
fLanguage :
English
Journal_Title :
Science, Measurement & Technology, IET
Publisher :
iet
ISSN :
1751-8822
Type :
jour
DOI :
10.1049/iet-smt.2011.0202
Filename :
6270241
Link To Document :
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