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.
| Mualliflar | Khonturaev, Sardorbek, Qayumov, Arslonbek |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-12-05 |
| Son | 4 |
| Betlar | 56-61 |
| Til | Rus |
Цифровой двойник; текстильное оборудование; прогностическое обслуживание; анализ вибрации; тепловой мониторинг; динамика ротора; оставшийся срок службы., Digital Twin; Textile Machinery; Predictive Maintenance; Vibration Analysis; Thermal Monitoring; Rotor Dynamics; Remaining Useful Life., Raqamli egizak; to'qimachilik mashinalari; bashoratli texnik xizmat ko'rsatish; vibratsiyani tahlil qilish; issiqlik monitoringi; rotor dinamikasi; qolgan foydali xizmat muddati.
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