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Performance of Modified S-Transform for Power Quality Disturbance Detection and Classification

In the analysis of the nonstationary signals, one often needs to examine their time-varying spectral characteristics. Since time-frequency representations (TFR) indicate variations of the spectral characteristics of the signal as a function of time, they are ideally suited for nonstationary signals...

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Bibliographic Details
Published in:Telkomnika 2017-12, Vol.15 (4), p.1520-1529
Main Authors: Hanim M. Noh, Faridah, Ab. Rahman, Munirah, Faizal Yaakub, M.
Format: Article
Language:English
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Summary:In the analysis of the nonstationary signals, one often needs to examine their time-varying spectral characteristics. Since time-frequency representations (TFR) indicate variations of the spectral characteristics of the signal as a function of time, they are ideally suited for nonstationary signals [3]. Features of each PQ disturbance signal are then constructed from the generated signal indices. [...]the capability of the studied method is shown in its classification rate. 2.Modified S-Transform The standard S-transform which has been proposed by Stockwell et. al in 1996 is given as follow [11]: ... The sampling frequency is 15.36 kHz. 4.Power Quality Signal Indices and Features Construction The time-frequency distribution is employed to generate a set of indices which are used in the classification process. The signal indices of transient are also able to give the correct features which will help the classification system to perform well. 5.3.Power Quality Classification using SVM Support Vector Machines (SVM) is a powerful technique for rectify problems in nonlinear classification, function estimation, and density estimation in kernel based methods in general [17,18].
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v15i4.7230