Power quality disturbance classification employing modular wavelet network

2006 IEEE Power Engineering Society General Meeting, PES

Volumn , Issue , 2006, Pages

  Pradhan, A K ^a   Routray, A ^a   Behera, A ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Kalman filter; Modular neural network; Neural network training; Power quality; Signal classification; Wavelet network; Wavelet transform

Indexed keywords

EXTENDED KALMAN FILTERS; NEURAL NETWORKS; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

MODULAR NEURAL NETWORKS; SIGNAL CLASSIFICATION; WAVELET NETWORKS;

POWER QUALITY;

EID: 35348880294     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/pes.2006.1709452     Document Type: Conference Paper

References (17)

1. J. Schlabbach, D. Blume, and T. Stephanblome, Voltage quality in Electrical Power Systems, IEE Power and Energy Series, London 2001.
2. A. K. Ghosh and D. L. Lubkeman, "The classification of power system disturbance waveforms using a neural network approach," IEEE Trans. Power Delivery, vol. 10, pp. 109 - 115, Jan. 1995.
3. th August 2002.
4. W. R. A. Ibrahim and M. M. Morcos, "Artificial intelligence and advanced mathematical tools for power quality applications: A survey," IEEE Trans. Power Delivery, vol. 17, pp. 668-673, Apr. 2002.
5. S. Santoso, W. M. Grady, E. J. Powers, J. Lamoree, and S. C. Bhatt, "Characterization of distribution power quality events with Fourier and wavelet transforms," IEEE Trans. Power Delivery, vol. 15, pp. 247-254,Jan. 2000.
6. M. Karimi, H. Mokhtari, and M. R. Iravani, "Wavelet based on-line disturbance detection for power quality applications," IEEE Trans. PowerDelivery, vol. 15, pp. 1212-1220, Oct. 2000.
7. L. Angrisani, P. Daponte, M. D'Apuzzo, and A. Testa, "A measurement method based on the wavelet transform for power quality analysis," IEEE Trans. Power Delivery, vol. 13, pp. 990-998, Oct. 1998.
8. M. Gaouda, M. M. A. Salama, M. R. Sultan, and A. Y. Chikhani, "Power quality detection and classification using wavelet-multiresolution signal decomposition," IEEE Trans. Power Delivery, vol. 14, pp. 1469-1476, Oct. 1999.
9. D. Borras, M. Castilla, N. Moreno, and J. C. Montano, "Wavelet and Neural Structure: A New Tool for Diagnostic of Power System Disturbances," IEEE Transactions on Industry Applications, vol. 37, no. 1, pp. 184-190, January/February 2001.
10. S. Sanioso, E. J. Powers,W. M. Grady, and A. C. Parsons, "Power quality disturbance waveform recognition using wavelet-based neural classifier-Part 1: Theoretical foundation," IEEE Trans. Power Delivery, vol. 15, pp. 222-228, Jan. 2000.
11. A. Elmitwally, S. Farghal, M. Kandil, S. Abdelkader and M. Elkateb, "Proposed wavelet-neurofuzzy combined system for power quality violations detection and diagnosis," IEE Proc. Gener. Trans. Distrib., vol. 148, no. 1, pp. 15-20, January 2001.
12. Z. L. Gaing, "Wavelet-based neural network for power disturbance recognition and classification," IEEE Trans. Power Delivery, vol. 19, pp. 1560-1568,Oct. 2004.
13. L. Angrisani, P. Daponte, and M. D'apuzzo, "Wavelet Network-Based Detection and Classification of Transients," IEEE Transactions on Instrumentation and Measurement, vol. 50, no. 5, pp. 1425-1435, 2001.
14. J. Zhang, G. G. Walter, Y. Miao, and W. N. W. Lee, "Wavelet neural networks for function learning," IEEE Trans. Signal Processing, vol. 43, pp. 1485-1497, June 1995.
15. Q. Zhang, "Using Wavelet network in nonparametric estimation," IEEE Trans. on Neural Networks, vol. 8, no.2, pp.227-236, 1997.
16. B. L. Lu and M. Ito, "Task decomposition and module combination based on class relations: a modular neural network for pattern classification," IEEE Trans. Neural Networks, vol. 10, pp. 1224-1255, 1999.
17. L Yingwei, N.Sundararajan, and P.Saratchandran, "Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm," IEEE Trans. on Neural Networks, vol 9, pp. 308-318, 1998.