Research on vehicle vibration threshold based on big data mining

Puchao Li; Dongyu Li; Mian Wang

doi:10.1117/12.2671809

1 March 2023 Research on vehicle vibration threshold based on big data mining

Puchao Li, Dongyu Li, Mian Wang

Author Affiliations +

Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 1259624 (2023) https://doi.org/10.1117/12.2671809
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China

Abstract

In order to exclude differences in the perception of vibration by different testers and to help the relevant authorities to plan maintenance and determine the timing of line repairs, the vehicle jitter threshold was analysed to make it one of the predictors of sustained vehicle jitter and to exclude to a certain extent the interference of the testers' physical sensations. According to the acceleration signal collected by the test, spectrum analysis and ride and comfort index calculation. When it is close to the threshold and the trend continues to increase, i.e. ride index is greater than 1.6-1.8, comfort index is greater than 0.7-0.9, lateral main frequency 6-9Hz, vertical main frequency 6-9Hz and 12-15Hz, the vehicle and line should be checked in advance and targeted management, if close to the threshold but the trend of change is gentle, the means of governance can be temporarily not taken, but need to strengthen the monitoring, collection of various types of monitoring indicators exceed the threshold and there is a continuous trend of increase, it is recommended that the vehicles and lines are inspected.

Citation Download Citation

Puchao Li, Dongyu Li, and Mian Wang "Research on vehicle vibration threshold based on big data mining", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 1259624 (1 March 2023); https://doi.org/10.1117/12.2671809

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