P.Kanirajan, V.Suresh Kumar, "A Wavelet Based Data Compression Technique for Power Quality Events Classification," WSEAS Transactions on Power Systems, vol. 10, pp. 82-88, 2015, DOI:
P.Kanirajan, V.Suresh Kumar. A Wavelet Based Data Compression Technique for Power Quality Events Classification.
WSEAS Transactions on Power Systems. 2015;10:82-88.
WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 10, 2015
A Wavelet Based Data Compression Technique for Power Quality Events Classification
Authors: ,
Abstract: This paper proposes a wavelet –based data compression for classification of PQ events. The Compression technique is performed through signal decomposition, signal reconstruction and according to the criterion of the maximum wavelet energy coefficients. To justify the proposed method, data are simulated under disturbances in which various power quality events which include voltage sag, swell, momentary interruptions and harmonics were simulated and used for testing the performance of various order and scale for daubechies and symlet functions. Simulation results indicate that the order 2 and scale 5 of wavelet functions offers superior compression performance compared to various other levels.
Pages: 82-88 WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 10, 2015, Art. #9 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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