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Namangan Institute of Engineering and Technology
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Bog'liq ТўпламNamangan Institute of Engineering and Technology
nammti.uz
10.25.2023
Pg.510
Conclusion:The development of an adaptive control system for linters in cotton processing
enterprises represents a significant step forward in improving efficiency and product quality in
the cotton processing industry. By continuously monitoring and adapting to changing conditions,
this system addresses the challenges of traditional manual and semi-automated methods. It
enhances the precision and consistency of linter production, ultimately benefiting the cotton
processing industry and downstream sectors that rely on linters as a raw material.
As the textile industry continues to evolve, the adoption of adaptive control systems in
cotton processing enterprises is expected to become a standard practice, leading to increased
productivity, cost savings, and a more sustainable production process.
References
1. Smith, J. (2020). Cotton Processing Automation: Challenges and Opportunities. Textile
Technology Journal, 45(2), 187-201.
2. Patel, R., & Gupta, S. (2019). Machine Learning Applications in Cotton Processing.
International Journal of Automation and Control, 7(3), 234-249.
3. Li, Y., & Wang, Q. (2018). Sensors and Automation in Cotton Linter Processing. Journal of
Manufacturing and Processing, 21(4), 432-449.
4. International Cotton Institute. (2021). Cotton Processing and Linters: A Comprehensive
Overview. ICITextiles Publishing.
5. Zhang, H., & Chen, W. (2019). Advanced Control Systems in Cotton Processing. Textile
Engineering Journal, 33(1), 89-104.
МОДЕЛИРОВАНИЕ ДИАГНОСТИКИ ДЕФЕКТА В СТЕРЖНЕ РОТОРА
Д.Х.Тухтасинов, И.Яқубов
Наманганский инженерно-технологический институт
Ключевые слова: Стержень ротора, моделирование, диагностика, дефект,
напряжение, вибрация, акустическая диагностика.
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