Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier

Digital Signal Processing: A Review Journal

Volumn 23, Issue 4, 2013, Pages 1071-1083

  Biswal, Milan ^a   Dash, P K ^b  

^a SILICON INSTITUTE OF TECHNOLOGY   (India)

^b SIKSHA O ANUSANDHAN DEEMED TO BE UNIVERSITY   (India)

Author keywords

Decision tree; Fast S transform; Pattern recognition; Power quality waveform detection; Power system quality

Indexed keywords

DECISION TREES; FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; POWER QUALITY; SIGNAL TO NOISE RATIO; TREES (MATHEMATICS);

CLASSIFICATION ALGORITHM; FAST S TRANSFORMS; NON-STATIONARY POWER SIGNALS; POWER QUALITY DISTURBANCES; POWER SYSTEM QUALITIES; TIME-FREQUENCY DISTRIBUTIONS; TIME-FREQUENCY REPRESENTATIONS; WAVE-FORM DETECTION;

DATA MINING;

EID: 84877583094     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2013.02.012     Document Type: Article

References (29)

1. D. Granados-Lieberman, R.J. Romero-Troncoso, R.A. Osornio-Rios, A. Garcia-Perez, and E. Cabal-Yepez Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review IET Gener. Transm. Distrib. 5 4 April 2011 519 529
2. Chiung-Chou Liao Enhanced RBF network for recognizing noise-riding power quality events IEEE Trans. Instrum. Meas. 59 6 June 2010 1550 1561
3. B. Biswal, P.K. Dash, and B.K. Panigrahi Power quality disturbance classification using fuzzy C-means algorithm and adaptive particle swarm optimization IEEE Trans. Ind. Electron. 56 1 January 2009 212 220
4. J. Reddy, P.K. Dash, R. Samantaray, and A.K. Moharana Fast tracking of power quality disturbance signals using an optimized unscented filter IEEE Trans. Instrum. Meas. 58 12 December 2009 3943 3952
5. S. Assous, and L. Linnett High resolution time delay estimation using sliding discrete Fourier transform Digit. Signal Process. 22 5 September 2012 820 827
6. Z.E.H. Slimane, and A.N. Ali Complex detection using empirical mode decomposition Digit. Signal Process. 20 2010 1221 1228
7. H. Xie, J. Lin, Y. Lei, and Y. Liao Fast-varying AM-FM components extraction based on an adaptive STFT Digit. Signal Process. 22 2012 664 670
8. X. Zhao, and B. Ye Convolution wavelet packet transform and its applications to signal processing Digit. Signal Process. 20 2010 1352 1364
9. T.S. Reddy, and G.R. Reddy Spectral analysis of atmospheric radar signal using filter banks polyphase approach Digit. Signal Process. 20 2010 1061 1071
10. M.A.S. Masoum, S. Jamali, and N. Ghaffarzadeh Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks IET Sci. Meas. Technol. 4 4 2010 193 205
11. W.G. Morsi, C.P. Diduch, L. Chang, and M.E. El-Hawary Wavelet-based reactive power and energy measurement in the presence of power quality disturbances IEEE Trans. Power Syst. 26 3 August 2011 1263 1271
12. C.C. Liao, H.T. Yang, and H.H. Chang Denoising techniques with a spatial noise-suppression method for wavelet-based power quality monitoring IEEE Trans. Instrum. Meas. 60 6 June 2011 1986 1996
13. U.D. Dwivedi, and S.N. Singh Denoising techniques with change-point approach for wavelet-based power-quality monitoring IEEE Trans. Power Deliv. 24 3 July 2009 1719 1727
14. R.G. Stockwell, L. Mansinha, and R.P. Lowe Localization of the complex spectrum: the S transform IEEE Trans. Signal Process. 44 4 April 1996 998 1001
15. P.K. Dash, B.K. Panigrahi, and G. Panda Power quality analysis using S-transform IEEE Trans. Power Deliv. 18 2 April 2003 406 411
16. R.A. Brown, R. Frayne, A fast discrete S-transform for biomedical signal processing, in: 30th Annual International Conference of the IEEE, Engineering in Medicine and Biology Society, August 2008, pp. 2586-2589.
17. A. Bhandari, P. Marziliano, A.M. Barrutia, Need for speed: Fast Stockwell transform (FST) with O (N) complexity, in: ICICS 2009.
18. R.A. Brown, M.L. Lauzon, and R. Frayne A general description of linear time-frequency transforms and formulation of a fast, invertible transform that samples the continuous S-transform spectrum nonredundantly IEEE Trans. Signal Process. 58 1 2010 281 290
19. I.W.C. Lee, and P.K. Dash S-transform-based intelligent system for classification of power quality disturbance signals IEEE Trans. Ind. Electron. 50 4 August 2003 800 805
20. W.M. Lin, C.H. Wu, C.H. Lin, and F.S. Cheng Detection and classification of multiple power-quality disturbances with wavelet multiclass SVM IEEE Trans. Power Deliv. 23 4 October 2008 2575 2582
21. C.C. Liao, and H.T. Yang Recognizing noise-influenced power quality events with integrated feature extraction and neuro-fuzzy network IEEE Trans. Power Deliv. 24 4 October 2009 2132 2141
22. P.D. McFadden, J.G. Cook, and L.M. Forster Decomposition of gear vibration signals by the generalized S transform Mech. Syst. Signal Process. 13 1999 691 707
23. C.R. Pinnegar, and L. Mansinha The S transform with windows of arbitrary and varying shape Geophysics 68 2003 381 385
24. S. Assous, and B. Boashash Evaluation of the modified S transform for time-frequency synchrony analysis and source localization EURASIP J. Adv. Signal Process. 2012 49
25. S.R. Safavian, and D. Landgrebe A survey of decision tree classifier methodology IEEE Trans. Syst. Man Cybern. 21 3 May 1991 660 674
26. R.C. Barros, M.P. Basgalupp, A.C.P.L.F. de Carvalho, and A.A. Freitas A survey of evolutionary algorithms for decision-tree induction IEEE Trans. Syst. Man Cybern., Part C: Appl. Rev. 42 3 May 2012 291 312
27. M. Kantardzic Decision trees and decision rules Data Mining: Concepts, Models, Methods, and Algorithms 2012 Wiley-IEEE Press 169 198
28. H.S. Behera, P.K. Dash, and B. Biswal Power quality time series data mining using S-transform and fuzzy expert system Appl. Soft Comput. 10 3 June 2010 945 955
29. M. Zhang, K. Li, and Y. Hu Classification of power quality disturbances using wavelet packet energy and multiclass support vector machine Int. J. Comput. Math. Electr. Electron. Eng. 31 2 2012 424 442