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 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 Dandruff Shampoo data in the lab for two 0.25 HP induction motors fed by a

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Design method of modular bi-directional load-bearing and energy dissipating joints in the context of intelligent construction

The requirements for structural performance and seismic performance in the field of civil engineering are increasing.Traditional building structures have certain limitations in extreme conditions such as earthquakes.Therefore, this study discusses the design of modular bi-directional load-bearing and energy dissipating joints in the context of inte

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