FAULT DIAGNOSIS FOR VARIABLE FREQUENCY DRIVE-FED INDUCTION MOTORS USING WAVELET PACKET DECOMPOSITION AND GREEDY-GRADIENT MAX-CUT LEARNING

Fault Diagnosis for Variable Frequency Drive-Fed Induction Motors Using Wavelet Packet Decomposition and Greedy-Gradient Max-Cut Learning

In this BCAA SPLASH PEACH MANGO paper, a novel fault diagnosis method for variable frequency drive (VFD)-fed induction motors is proposed using Wavelet Packet Decomposition (WPD) and greedy-gradient max-cut (GGMC) learning algorithm.The proposed method is developed using experimental stator current data in the lab for two 0.25 HP induction motors f

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Theoretical Investigation of Laser Induced Magnetization Reversal by Spin Orbit Coupling and Stimulated Raman Scattering

We theoretically study the mechanism of the all-optical magnetic Serving Baskets switching by combining the Rashba effect and stimulated Raman scattering.In hydrogenlike systems, we show that the Rashba effect splits the energy band and stimulated Raman scattering transits the electrons between the lambda three-level system and controls the spin st

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