... is that no mathematical model is needed for the system monitoring. Usually, the most important step on which the performance of MLAs depends is the good features extraction and selection (Bouzid et al., 2008 ; Sun et al., 2016). To diagnose the bearing fault of induction motor (IM), Konar...

... is widely used: (1) x ( i ) = x ( t 0 + i Δ t ) © Emerald Publishing Limited 2020 Emerald Publishing Limited Licensed re-use rights only Cable accessory Partial discharge Phase space reconstruction Feature extraction CNN For testing, a 8.7/10 kV XLPE...

... that these features can help correctly classify the PQ disturbances, even under noisy conditions. The MSVM is compared with artificial neural network (ANN) and it is found that the MSVM classifier gives the better result. Power quality (PQ) Wavelet packet energy Feature extraction Multiclass support vector...