Development of a Vibration and Temperature-Based Digital Twin for Textile Machinery

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.