DEVELOPMENT OF A VIBRATION AND TEMPERATURE-BASED DIGITAL TWIN FOR TEXTILE MACHINERY
Sardorbek KhonturaevPhD student at the Tashkent State Technical University Tashkent, UzbekistanArslonbek QayumovMaster's student at the Higher School of Strategic Analysis and Forecasting of the Republic of Uzbekistan Tashkent, Uzbekistan
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The textile industry relies on high-speed rotating and thermally loaded equipment such as spinning frames, carding cylinders, and weaving looms. To enhance reliability and reduce unplanned stoppages, this study develops a digital twin model of textile machinery by integrating vibration, temperature, and degradation data. A multi-sensor acquisition system records real-time signals, while a physics-based rotor dynamic model and thermal model simulate machine behavior.
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