An approach to recognize the transient disturbances with spectral kurtosis

IEEE Transactions on Instrumentation and Measurement

Volumn 63, Issue 1, 2014, Pages 46-55

  Liu, Zhigang ^a   Zhang, Qiaoge ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Choi Williams distribution (CWD); disturbance parameters; recognition; spectral kurtosis (SK); transient disturbance

Indexed keywords

CHOI-WILLIAMS DISTRIBUTION; DISTURBANCE PARAMETERS; RECOGNITION; SPECTRAL KURTOSIS; TRANSIENT DISTURBANCES;

COMPUTER AIDED DESIGN; STATISTICAL MECHANICS;

HIGHER ORDER STATISTICS;

EID: 84890563640     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2013.2277513     Document Type: Article

References (16)

1. T. Radil, P. M. Ramos, F. M. Janeiro, and A. C. Serra, "PQ monitoring system for real-time detection and classification of disturbances in a single-phase power system," IEEE Trans. Instrum. Meas., vol. 57, no. 8, pp. 1725-1733, Aug. 2008.
2. W. R. Anis Ibrahim and M. M. Morcos, "Artificial intelligence and advanced mathematical tools for power quality applications: A survey," IEEE Trans. Power Del., vol. 21, no. 2, pp. 634-639, Apr. 2002.
3. S. Santoso, E. J. Powers, W. M. Grady, and A. C. Parsons, "Power quality disturbance waveform recognition using wavelet-based neural classifier. I: Theoretical foundation," IEEE Trans. Power Del., vol. 15, no. 1, pp. 222-228, Jan. 2000.
4. P. Janik and T. Lobos, "Automated classification of power-quality disturbances using SVM and RBF networks," IEEE Trans. Power Del., vol. 21, no. 3, pp. 1663-1669, Jul. 2006. (Pubitemid 43983701)
5. S. Mishra, C. N. Bhende, and B. K. Panigrahi, "Detection and classification of power quality disturbances using S-transform and probabilistic neural network," IEEE Trans. Power Del., vol. 23, no. 1, pp. 280-287, Jan. 2008.
6. D. R. Iskander and A. M. Zoubir, "Testing Gaussianity using higher order statistics: He small sample case," in Proc. IEEE Workshop Higher Order Stat., Jun. 1995, pp. 191-195.
7. O. N. Gerek and D. G. Ece, "Power-quality event analysis using higher order cumulants and quadratic classifiers," IEEE Trans. Power Del., vol. 21, no. 2, pp. 883-889, Apr. 2006.
8. J. J. González de la Rosa, A. M. Muñoz, A. Gallego, R. Piotrkowski, and E. Castro, "Higher-order characterization of power quality transients and their classification using competitive layers," Measurement, vol. 42, no. 3, pp. 478-484, 2010.
9. R. F. Dwyer, "Detection of non-Gaussian signals by frequency domain kurtosis estimation," in Proc. Int. Conf. Acoust., Speech Signal Process., Boston, MA, USA, 1983, pp. 607-610.
10. R. F. Dwyer, "Use of the kurtosis statistic in the frequency domain as an aid in detecting random signals," IEEE J. Ocean. Eng., vol. 9, no. 2, pp. 85-92, Apr. 1984.
11. V. Vrabie, P. Granjon, and C. Servière, "Spectral kurtosis: From definition to application," in Proc. 6th IEEE Int. Workshop Nonlinear Signal Image Process., Grado-Trieste, Italy, Mar. 2003, pp. 1-3.
12. J. Antoni, "The spectral kurtosis: A useful tool for characterising non-stationary signals," Mech. Syst. Signal Process., vol. 20, no. 3, pp. 282-307, 2006. (Pubitemid 41606170)
13. J. Antoni, "Fast computation of the kurtogram for the detection of transient faults," Mech. Syst. Signal Process., vol. 21, no. 2, pp. 108-124, 2007. (Pubitemid 44528235)
14. J. Antoni and R. B. Randall, "The spectral kurtosis: Application to the vibratory surveillance and diagnostics of rotating machines," Mech. Syst. Signal Process., vol. 20, no. 2, pp. 308-331, 2006. (Pubitemid 41606171)
15. Transmission and Distribution Committee of the IEEE Power & Energy Society, IEEE Std. 1159-2009 IEEE Recommended Practice for Monitoring Electric Power Quality. New York, NY, USA: The Institute of Electrical and Electronics Engineers, 2009.
16. D. T. Barry, "Fast calculation of the Choi-Williams time-frequency distribution," IEEE Trans. Signal Process., vol. 40, no. 2, pp. 450-455, Feb. 1992.