SANOAT MASHINALARIDA PREDICTIVE MAINTENANCE (OLDINDAN TEXNIK XIZMAT KO‘RSATISH) UCHUN SUN’IY INTELLEKT ALGORITMLARI

Authors

  • Yusufjon Jo‘raxanov Namangan davlat texnika universiteti talabasi, Uzbekistan Author

Keywords:

sanoat mashinalari, predictive maintenance, sun’iy intellekt, mashina o‘rganish, neyron tarmoqlar, nosozliklarni aniqlash.

Abstract

Ushbu maqolada sanoat mashinalarida predictive maintenance (oldindan texnik xizmat ko‘rsatish) tizimlarida sun’iy intellekt (AI) algoritmlarining qo‘llanilishi tahlil qilinadi. AI algoritmlari yordamida mashina nosozliklari oldindan aniqlanadi, ishlab chiqarish jarayonlarida to‘xtash vaqtini kamaytiradi va texnik xizmat xarajatlarini optimallashtiradi. Maqolada turli AI metodlari — mashina o‘rganish, chuqur o‘rganish, neyron tarmoqlar va big data tahlili — ning predictive maintenance jarayonidagi roli ko‘rib chiqiladi.

References

1. Lee, J., Bagheri, B., & Kao, H. A. (2015). A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters.

2. Mobley, R. K. (2002). An Introduction to Predictive Maintenance. Elsevier.

3. Zhang, W., Yang, D., & Wang, H. (2019). Data-driven methods for predictive maintenance of industrial equipment: A review. IEEE Systems Journal.

4. Breiman, L. (2001). Random Forests. Machine Learning.

5. Abdullaev, M. (2023). Sun’iy intellekt va sanoat mashinalarini diagnostika qilish texnologiyalari. Toshkent: TATU nashriyoti.

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Published

08.09.2025

How to Cite

SANOAT MASHINALARIDA PREDICTIVE MAINTENANCE (OLDINDAN TEXNIK XIZMAT KO‘RSATISH) UCHUN SUN’IY INTELLEKT ALGORITMLARI. (2025). Journal of Uzbekistan’s Development and Research, 1(6), 94-95. https://ijournal.uz/index.php/judr/article/view/2571

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