Please use this identifier to cite or link to this item:
https://repository.hneu.edu.ua/handle/123456789/37082| Title: | Vehicle condition diagnostics using parametric noise visualization |
| Authors: | Mygal G. Protasenko O. Kobrina N. |
| Keywords: | Noise Intelligent Systems Diagnostics Internal Combustion Engine Engine Defects Signatures Parametric Space Spatio-Temporal Signal Structure |
| Issue Date: | 2025 |
| Citation: | Mygal G. Vehicle condition diagnostics using parametric noise visualization / G. Mygal, O. Protasenko, N. Kobrina // Integrated Computer Technologies in Mechanical Engineering – 2024. Lecture Notes in Networks and Systems, Springer, Cham. – 2025. – Vol. 1474. – P. 195-204. |
| Abstract: | A method is proposed for assessing vehicle conditions by visualizing acoustic signals in 3D. Parametric representation of noise from piston engines enables early defect detection, addressing challenges of complex data in dynamic systems and advancing remote monitoring of mechanical components through intelligent technologies. |
| URI: | https://repository.hneu.edu.ua/handle/123456789/37082 |
| Appears in Collections: | Статті (ЗСЖБЖ) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| _VEHICLE CONDITION DIAGNOSTICS USING PARAMETRIC NOISE VISUALIZATION.pdf | 68,08 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.