Vehicle condition diagnostics using parametric noise visualization
| dc.contributor.author | Mygal G. |
| dc.contributor.author | Protasenko O. |
| dc.contributor.author | Kobrina N. |
| dc.description.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. |
| dc.identifier.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. |
| dc.identifier.uri | https://repository.hneu.edu.ua/handle/123456789/37082 |
| dc.language.iso | en |
| dc.subject | Noise |
| dc.subject | Intelligent Systems |
| dc.subject | Diagnostics |
| dc.subject | Internal Combustion Engine |
| dc.subject | Engine Defects |
| dc.subject | Signatures |
| dc.subject | Parametric Space |
| dc.subject | Spatio-Temporal Signal Structure |
| dc.title | Vehicle condition diagnostics using parametric noise visualization |
| dc.type | Article |
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