This article examines predictive maintenance (PdM) systems for predicting equipment conditionusing artificial intelligence (AI) in industrial plants. The study utilizes theoretical analysis, a comparative studyof international practices, and methods for evaluating the effectiveness of machine learning, deep learning, andsignal processing algorithms in predicting equipment failures. The results demonstrate that AI-based PdM systemscan significantly reduce unexpected downtime, optimize maintenance costs, and extend equipment servicelife. Using international experience as examples, the PdM methods of leading companies, such as Rolls-Royce, Caterpillar, ThyssenKrupp, and SKF, are analyzed and their results are presented. The key stages,technical requirements, and cost effectiveness of implementing AI-based PdM systems are substantiated.
| Mualliflar | Rixsiboyev , Nozimbek |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashriyot | Тошкент давлат иқтисодиёт университети |
| Nashr sanasi | 2025-06-25 |
| Jild | 1 |
| Son | 6 |
| Til | O‘zbek |
| Ilmiy soha | Texnika |
| DOI | 10.5281/zenodo.20559282 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.5281/zenodo.20559282 · Maqolaning asl sahifasi
AI, PdM, predictive maintenance, equipment condition, failure prediction, remaining service life, vibration analysis, anomaly detection, machine learning, deep learning, signal processing, IoT, real-time monitoring, Industry 4.0.
| APA | Rixsiboyev , Nozimbek (2025). SANOAT KORXONALARIDA USKUNALAR HOLATINI SUN’IY INTELLEKT ORQALI BASHORATLASH. Innovation science and technologiy, 1(6). https://doi.org/10.5281/zenodo.20559282 |
|---|---|
| GOST (OAK) | Rixsiboyev , Nozimbek SANOAT KORXONALARIDA USKUNALAR HOLATINI SUN’IY INTELLEKT ORQALI BASHORATLASH // Innovation science and technologiy. – 2025. – T. 1, № 6. – DOI: 10.5281/zenodo.20559282. |
| MLA | Rixsiboyev , Nozimbek. “SANOAT KORXONALARIDA USKUNALAR HOLATINI SUN’IY INTELLEKT ORQALI BASHORATLASH.” Innovation science and technologiy, 1(6), 2025. https://doi.org/10.5281/zenodo.20559282 |
| Chicago | Rixsiboyev , Nozimbek. “SANOAT KORXONALARIDA USKUNALAR HOLATINI SUN’IY INTELLEKT ORQALI BASHORATLASH.” Innovation science and technologiy, 1(6) (2025). https://doi.org/10.5281/zenodo.20559282 |
| Harvard | Rixsiboyev , Nozimbek (2025) ‘SANOAT KORXONALARIDA USKUNALAR HOLATINI SUN’IY INTELLEKT ORQALI BASHORATLASH’, Innovation science and technologiy, 1(6). https://doi.org/10.5281/zenodo.20559282 |
| BibTeX | @article{rixsiboyevnozimbek2025,
title = {SANOAT KORXONALARIDA USKUNALAR HOLATINI SUN’IY INTELLEKT ORQALI BASHORATLASH},
author = {Rixsiboyev , Nozimbek},
journal = {Innovation science and technologiy},
year = {2025},
volume = {1},
number = {6},
doi = {10.5281/zenodo.20559282},
url = {https://doi.org/10.5281/zenodo.20559282}
} |
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