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In this chapter, the characteristics of various types of voltage sag disturbances are analyzed. The domestic and foreign research on voltage sag disturbance recognition methods is reviewed both in process and results. The methods based on direct parameter classification, wavelet decomposition and neural networks, S-transform and similarity classification, support vector machine (SVM), and other classification methods are discussed in detail. Finally, the present problems of voltage sag disturbance recognition methods are analyzed, and future research is discussed.
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- Review of Voltage Sag Disturbance Recognition