SANOAT JARAYONLARIDA SUN’IY INTELLEKT YORDAMIDA PREDIKTIV TEXNIK XIZMAT KO‘RSATISH TIZIMLARINI OPTIMALLASHTIRISH
PDF
DOI

Keywords

sun’iy intellekt, prediktiv texnik xizmat, mashinaviy o‘qitish, sanoat avtomatikasi, raqamli sensorlar, nosozliklarni aniqlash, ishlab chiqarish samaradorligi.

How to Cite

SANOAT JARAYONLARIDA SUN’IY INTELLEKT YORDAMIDA PREDIKTIV TEXNIK XIZMAT KO‘RSATISH TIZIMLARINI OPTIMALLASHTIRISH . (2025). Journal of Universal Science Research, 3(12), 371-375. https://universalpublishings.com/~niverta1/index.php/jusr/article/view/15562

Abstract

Ushbu maqolada sanoat korxonalarida texnik xizmat ko‘rsatish jarayonlarini sun’iy intellekt asosida optimallashtirishning nazariy va amaliy asoslari yoritiladi. Prediktiv texnik xizmat ko‘rsatish (Predictive Maintenance — PdM) sanoat tizimlari ishonchliligi, xavfsizligi va uzluksizligini ta’minlashda muhim mexanizm bo‘lib, sun’iy intellekt metodlari, ayniqsa mashinaviy o‘qitish va chuqur neyron tarmoqlar yordamida jarayonlarning noaniqlik darajasi keskin kamayadi, avariya holatlarining oldi olinadi hamda iqtisodiy samaradorlik oshadi. 

PDF
DOI

References

1. Lee J., Bagheri B., Kao H.A. A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems. – Manufacturing Letters, 2015. – Vol. 3. – P. 18–23.

2. Carvalho T.P., Soares F.A. et al. A Systematic Literature Review of Machine Learning Methods Applied to Predictive Maintenance. – Computers & Industrial Engineering, 2019. – Vol. 137. – 106024.

3. Goodfellow I., Bengio Y., Courville A. Deep Learning. – MIT Press, 2016. – 775 p.

4. Jardine A.K.S., Lin D., Banjevic D. A Review on Machinery Diagnostics and Prognostics. – Mechanical Systems and Signal Processing, 2006. – Vol. 20. – P. 1483–1510.

5. ISO 13374-1. Condition Monitoring and Diagnostics of Machines. – International Organization for Standardization, 2014.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Downloads

Download data is not yet available.