Background

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VIII. References

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[1] J. Stones, and A. Collinson, “Power Quality”, Power Engineering Journal, pp. 58-64, April, 2001.

[2] M. Negnevitsky, V. Faybisovich, S. Santoso, E.J. Powers, W.M. Grady, and A.C. Parsons, “Discussion of ‘Power quality disturbance waveform recognition using wavelet-based neural classifier-Part 1: theoretical foundation’ [Closure to discussion]”, pp.1347-1348, October, 2000.

[3] Min Wang, Piotr Ochenkowski, Alexander Mamishev, “Classification of power quality disturbances using time-frequency ambiguity plane and neural networks,” Proceedings of 2001 IEEE Power Engineering Society Summer Meeting, Vancouver, Canada, July 2001.

[4] J. Chung, E. Powers, W. Grady, and S. Bhatt, “Electric power transient disturbance classification using wavelet-based hidden Markov models”, Proceedings of 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP’00, pp.3662-3665, June 2000.

[5] 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 Transactions on Power Delivery, vol.15, pp. 222-228, Jan. 2000.

[6] B. Perunicic, M. Mallini, Z. Wang, and Y. Liu, “Power quality disturbance detection and classification using wavelet and artificial neural networks, ” 8th International Conference on Harmonics and Quality of Power Proceedings, vol. 1, pp. 77-82, Oct. 1998.

[7] A.M. Gaouda, M.M.A. Salama, M.R. Sultan, and A.Y. Chikhani, “Power quality detection and classification using wavelet-multiresolution signal decomposition”, IEEE Transactions on Power Delivery, vol.14, pp. 1469-1476, Oct. 1998.

[8] F. Hlawatsch and G. F. Boudreaux-Bartels, “Linear and quadratic time-frequency signal representations”, IEEE Signal Processing Magazine, vol. 9, pp.21-67, April 1992.

[9] J. J. McLaughlin, “Applications of Operator Theory to Time-Frequency Analysis and Classification,” Ph.D. Dissertation, University of Washington, 1997.

[10] B. W. Gillespie and L. Atlas, “Data-driven time-frequency classification techniques applied to tool-wear monitoring”, in Proceedings of the 2000 IEEE ICASSP, vol. 2, pp2045-2048, June 2000.

[11] B. W. Gillespie and L. Atlas, “Optimization of time and frequency resolution for radar transmitter identification, ” in Proceedings of the 1999 IEEE ICASSP, vol. 3, pp. 1341-1344, March 1999.