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Classification of EMI discharge sources using time-frequency features and multi class support vector machine

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Figure

Figure 1: Framework of the proposed method for Electromagnetic Interference (EMI) analysisusing High-Frequency Current Transformer (HFCT) and Partial Discharge (PD) Surveyor 200(PDS200), discharge sources classification results are compared against experts’ labelling ofthe sensed signals: PD, Arcing (A), Process Noise (PN) and Corona (C).
Figure 2: Example non-stationary Signal
Figure 5: LBP image encoding of a 2-D image
Figure 6: LBP histogram representation of an image
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