Title :
Discussion on "Power quality disturbance waveform recognition using wavelet-based neural classifier. 2. Application" [Closure to discussion]
Author :
Negnevitsky, Michael ; Faybisovich, V.
Author_Institution :
Dept. of Electr. & Electron. Eng., Tasmania Univ., Hobart, Tas., Australia
Abstract :
M. Negnevitsky and V. Faybisovich comment separately on the paper by S. Santoso et al. (see ibid., vol.15, no.1, p.229-35, 2000). Negnevitsky asks questions regarding the wavelet based neural classifier. Faybisovich asks questions regarding the type of wavelet chosen and the learning scheme. The original authors reply to the comments.
Keywords :
neural nets; pattern recognition; power supply quality; power system analysis computing; wavelet transforms; learning scheme; power quality disturbance waveform recognition; wavelet-based neural classifier; Bayesian methods; Neural networks; Pattern recognition; Power industry; Power quality; Power supplies; Power system harmonics; Power system transients; Training data; Wavelet transforms;
Journal_Title :
Power Delivery, IEEE Transactions on
