A new fast discrete S-transform and decision tree for the classification and monitoring of power quality disturbance waveforms
Author:
Affiliation:
1. Siksha ‘O’ Anusandhan University; Bhubaneswar India
2. JNT University-K; Kakinada Andhrapradesh India
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/etep.1776/fullpdf
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3. Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks;Masoum;IET Science, Measurement and Technology,2010
4. An Improved Hilbert-Huang Method for Analysis of Time-Varying Waveforms in Power Quality;Senroy;IEEE Transactions on Power Systems,2007
5. Classification of power quality events using optimal time-frequency representations - Part 2: Application;Wang;IEEE Transactions on Power Delivery,2004
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