GEnx-B1 dvigateliga texnik xizmat ko‘rsatish algoritmi
Ключевые слова:
GEnx-B1, texnik xizmat algoritmi, RCM, CBM, PdM, dvigatel diagnostikasi, sun’iy intellekt, raqamli egizak, ishonchlilik, bashoratli texnik xizmat
Аннотация
Ushbu maqolada GEnx-B1 dvigateliga texnik xizmat ko‘rsatish algoritmi, uning samaradorligini oshirish va xizmat muddati davomida optimal ishlashini ta’minlash uchun ilg‘or metodlar tahlil qilinadi. Reliability-Centered Maintenance (RCM), Condition-Based Maintenance (CBM) va Predictive Maintenance (PdM) kabi strategiyalarning ilmiy asoslari, matematik modellar va real ma’lumotlarga asoslangan holda GEnx-B1 dvigateliga tatbiq etilishi ko‘rib chiqiladi. Shuningdek, dvigatel diagnostikasi va nosozliklarni oldindan bashorat qilishda sun’iy intellekt va raqamli egizak (digital twine) texnologiyasidan foydalanish istiqbollari yoritiladi.
Литература
[1] Gartner, Inc. (2020). Predictive Maintenance and Advanced Analytics: Leveraging Digital Twins for Future-Ready Maintenance. Gartner Research.
[2] Moubray, J. (1997). Reliability-Centered Maintenance (RCM): Implementation Made Simple. Industrial Press.
[3] Mobley, R. K. (2002). An Introduction to Predictive Maintenance. Elsevier.
[4] Grieves, M. (2014). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. McKinsey & Company.
[5] Zhao, R., & Xie, S. (2019). "A Survey on Digital Twin for Aircraft Engines: Concepts, Applications, and Challenges." IEEE Access.
[6] Snee, R. D. (2011). Understanding and Applying Advanced Analytics in Maintenance. John Wiley & Sons.
[7] Shivakumar, S., & Rao, P. S. (2015). "Predictive Maintenance: Integration with Digital Twin for Aviation." Journal of Aerospace Engineering.
[8] Wang, T., & Zhang, C. (2020). "Condition-Based Maintenance and its Future in Aviation: A Review." Journal of Aircraft Maintenance and Engineering.
[9] Liu, H., & Li, W. (2021). "A Framework for Digital Twin-Based Predictive Maintenance in Aerospace." Aerospace Science and Technology.
[2] Moubray, J. (1997). Reliability-Centered Maintenance (RCM): Implementation Made Simple. Industrial Press.
[3] Mobley, R. K. (2002). An Introduction to Predictive Maintenance. Elsevier.
[4] Grieves, M. (2014). Digital Twin: Manufacturing Excellence through Virtual Factory Replication. McKinsey & Company.
[5] Zhao, R., & Xie, S. (2019). "A Survey on Digital Twin for Aircraft Engines: Concepts, Applications, and Challenges." IEEE Access.
[6] Snee, R. D. (2011). Understanding and Applying Advanced Analytics in Maintenance. John Wiley & Sons.
[7] Shivakumar, S., & Rao, P. S. (2015). "Predictive Maintenance: Integration with Digital Twin for Aviation." Journal of Aerospace Engineering.
[8] Wang, T., & Zhang, C. (2020). "Condition-Based Maintenance and its Future in Aviation: A Review." Journal of Aircraft Maintenance and Engineering.
[9] Liu, H., & Li, W. (2021). "A Framework for Digital Twin-Based Predictive Maintenance in Aerospace." Aerospace Science and Technology.
Опубликован
2025-06-30
Как цитировать
Maturazov, I., & Shodiyev, S. (2025). GEnx-B1 dvigateliga texnik xizmat ko‘rsatish algoritmi. Вестник транспорта - Transport Xabarnomasi, 2(2), 109-112. https://doi.org/10.56143/2181-2438-2025-2-109-112
Раздел
Управление воздушным движением и техническое обслуживание авиационной техники
