Title :
Discussion of "Power quality disturbance waveform recognition using wavelet-based neural classifier-Part 1: theoretical foundation" [Closure to discussion]
Author :
Negnevitsky, Michael ; Faybisovich, V. ; Santoso, Surya ; Powers, E. ; Grady, W. Mack ; Parsons, Antony C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Tasmania Univ., Hobart, Tas., Australia
Abstract :
The authors discuss the original paper ("Power quality disturbance waveform recognition using wavelet-based neural classifier-Part 1: theoretical foundation", S. Santoso et al., see ibid., vol. 15, no. 1, p. 222-8, 2000) and present their observations. The original authors\´ response to the discussions are included.
Keywords :
neural net architecture; pattern classification; power supply quality; power system analysis computing; power system faults; power system transients; wavelet transforms; comments; discussion; electric utilities; impulsive transients; power quality disturbance waveform recognition; theoretical foundation; wavelet-based neural classifier; Bayesian methods; Power industry; Power quality; Power supplies; Power system analysis computing; Power system harmonics; Power system reliability; Power system transients; Surges; Training data;
Journal_Title :
Power Delivery, IEEE Transactions on
