CLASSIFICATION OF VIBRATION DIAGNOSTICS METHODS FOR ROTARY DEVICES AND THEIR ANALYTICAL CAPABILITIES
DOI:
https://doi.org/10.47390/ts-v4i1y2026N04Ключевые слова:
Vibration diagnostics, rotary machinery, condition monitoring, signal processing, fault detection, predictive maintenance.Аннотация
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.
Библиографические ссылки
1. Randall, R. B. (2011). Vibration-Based Condition Monitoring: Industrial, Aerospace and Automotive Applications. Wiley.
2. Khonturaev, S., & Qayumov, A. (2025). ACCURATE REAL-TIME TRACKING IN GEOLOGY: A DATA-DRIVEN APPROACH. Techscience. uz-Texnika fanlarining dolzarb masalalari, 3(10), 18-21.
3. Harris, T. A., & Kotzalas, M. N. (2006). Rolling Bearing Analysis (5th ed.). CRC Press.
4. Xonto‘rayev, S. (2025). Mashina o ‘qitishning sun’iy intellektdagi o ‘rni. Bulletin of Contemporary Researches: Multidisciplinary, 1(3).
5. ISO 10816-1. (1995). Mechanical vibration — Evaluation of machine vibration by measurements on non-rotating parts.
6. Sardorbek, K., & Shukronakhon, M. (2025). MATHEMATICAL FOUNDATIONS OF GPS AND RTK POSITIONING. Al-Farg’oniy avlodlari, 1(3), 164-168.
7. Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483-1510.
8. Хoнтураев, С. И. (2023). ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ И ИНТЕРНЕТ ВЕЩЕЙ. Universum: технические науки, (12-2 (117)), 12-13.
9. Broch, J. T. (1984). Mechanical Vibration and Shock Measurements. Brüel & Kjær.
10. Xonto’rayev, S. (2023). IOT IN INDUSTRY 4.0: THE EVOLUTION OF SMART MANUFACTURING. In Conference on Digital Innovation:" Modern Problems and Solutions.
11. Feldman, M. (2011). Hilbert transform in vibration analysis. Mechanical Systems and Signal Processing, 25(3), 735-802.
12. Yen, G. G., & Lin, K. C. (2000). Wavelet packet feature extraction for vibration monitoring. IEEE Transactions on Industrial Electronics, 47(3), 650-667.
13. Khonturaev, S., & Eshmatova, S. (2016). Saving environment using Internet of Things: challenges and the possibilities. Современные образовательные технологии в мировом учебно-воспитательном пространстве, (8), 152-157.
14. Adams, M. L. (2010). Rotating Machinery Vibration: From Analysis to Troubleshooting. CRC Press.
This work is licensed under a 