Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation by Chhaya Grover, Neelam Turk

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Development of remote diagnostic monitoring system for pumping equipment with open architecture by Alexey Savostin, Kayrat Koshekov, Amandyk Tuleshov, Galina Savostina, Abay Koshekov

“…The study aim was to develop a remote diagnostic monitoring system for pumping equipment with an open architecture to improve the reliability and efficiency of pump operation in various industrial sectors. The system is designed for the periodic collection and analysis of vibration and temperature signals, which allows for the prompt identification of potential equipment malfunctions and avoidance of emergency shutdowns during the production process. …”
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