Please use this identifier to cite or link to this item: https://doi.org/10.1109/61.852971
Title: Classification of power system disturbances using a fuzzy expert system and a Fourier Linear Combiner
Authors: Dash, P.K.
Mishra, S.
Salama, M.M.A.
Liew, A.C. 
Issue Date: Apr-2000
Source: Dash, P.K., Mishra, S., Salama, M.M.A., Liew, A.C. (2000-04). Classification of power system disturbances using a fuzzy expert system and a Fourier Linear Combiner. IEEE Transactions on Power Delivery 15 (2) : 472-477. ScholarBank@NUS Repository. https://doi.org/10.1109/61.852971
Abstract: This paper presents a hybrid scheme using a Fourier Linear Combiner and a fuzzy expert system for the classification of transient disturbance waveforms in a power system. The captured voltage or current waveforms are passed through a Fourier Linear Combiner block to provide normalized peak amplitude and phase at every sampling instant. The normalized peak amplitude and computed slope of the waveforms are then passed on to a diagnostic module that computes the truth value of the signal combination and determines the class to which the waveform belongs. Several numerical tests have been conducted using EMTP programs to validate the disturbance waveform classification with the help of the new hybrid approach which is much simpler than the recently postulated ANN or wavelet based approaches.
Source Title: IEEE Transactions on Power Delivery
URI: http://scholarbank.nus.edu.sg/handle/10635/61940
ISSN: 08858977
DOI: 10.1109/61.852971
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