Please use this identifier to cite or link to this item:
https://repository.hneu.edu.ua/handle/123456789/40504| Title: | Parametric visualisation of vehicle state: dynamic acoustic portrait |
| Authors: | Mygal G. Protasenko O. Kobrina N. |
| Keywords: | Acoustic Signals Engine Wear Phase Portraits 3D Visualisation Fault Identification Cognitive Interpretation Intelligent Diagnostics |
| Issue Date: | 2026 |
| Citation: | Mygal G. Parametric visualisation of vehicle state: dynamic acoustic portrait / G. Mygal, O. Protasenko, N. Kobrina // Integrated Computer Technologies in Mechanical Engineering – 2025. Lecture Notes in Networks and Systems, Springer, Cham. – 2026. – Vol. 1919. – P. 18-29. |
| Abstract: | This research utilizes 3D topological visualization of acoustic signals to identify engine states. Variations in phase trajectories effectively detect mechanical defects and wear. This method establishes an integral wear index for more precise fault diagnosis. |
| URI: | https://repository.hneu.edu.ua/handle/123456789/40504 |
| Appears in Collections: | Статті (ЗСЖБЖ) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Protasenko_реферат_Parametric Visualisation of Vehicle State.......pdf | 69,16 kB | Adobe PDF | View/Open |
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