Machine learning based fault detection approach to enhance quality control in smart manufacturing
EH Abualsauod - Production Planning & Control, 2023 - Taylor & Francis
In recent days the quickly changing manufacturing environment has pushed organizations to
accomplish more consumer satisfaction by improving item quality, lessening production cost …
accomplish more consumer satisfaction by improving item quality, lessening production cost …
Stator ITSC Fault Diagnosis of EMU Asynchronous Traction Motor Based on apFFT Time-Shift Phase Difference Spectrum Correction and SVM
J Ma, X Liu, J Hu, J Fei, G Zhao, Z Zhu - Energies, 2023 - mdpi.com
EMU (electric multiple unit) traction motors are powered by converters whose output voltage
increases the voltage stress borne by the insulation system, making the ITSC (inter-turn …
increases the voltage stress borne by the insulation system, making the ITSC (inter-turn …
Recent advances of neural network based methods in induction motor fault diagnosis
Preventing induction motors (IMs) from failure and shut down is important to maintain
functionality of many critical loads in industry and commerce. This paper provides a …
functionality of many critical loads in industry and commerce. This paper provides a …
Closed-Loop Drive Detection and Diagnosis of Multiple Combined Faults in Induction Motor Through Model-Based and Neuro-Fuzzy Network Techniques
I Harzelli, A Benakcha, T Ameid… - Journal of Modeling and …, 2021 - xpublication.com
In this paper, a fault detection and diagnosis approach adopted for an input-output feedback
linearization (IOFL) control of induction motor (IM) drive is proposed. This approach has …
linearization (IOFL) control of induction motor (IM) drive is proposed. This approach has …