This article classifies vibration diagnostics for rotary machinery into time-domain, frequency-domain, and model-based methods. It evaluates each approach's analytical capabilities for detecting faults such as imbalance and bearing defects, and discusses their integration into predictive maintenance systems.
| Mualliflar | Khonturaev, Sardorbek, Qayumov, Arslonbek |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-01-31 |
| Jild | 4 |
| Son | 1 |
| Betlar | 29-40 |
| Til | Ingliz |
| DOI | 10.47390/ts-v4i1y2026n04 |
DOI: 10.47390/ts-v4i1y2026n04 · Maqolaning asl sahifasi
Vibration diagnostics, rotary machinery, condition monitoring, signal processing, fault detection, predictive maintenance., Tebranish diagnostikasi, rotorli qurilma, holatni kuzatish, signalni qayta ishlash, nosozliklarni aniqlash, bashoratli texnik xizmat ko'rsatish.
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