Health Monitoring of Automotive Suspension System using Machine Learning

Ahmed Abdelfattah, Hesham Ibrahim

2021

Abstract

This paper investigates Knowledge-based condition monitoring of automotive suspension dampers by implementing a quarter car model (QCM). The sprung mass acceleration - frequency power spectral density curves, for different cases of performance degradation in suspension damping and different operational conditions, is provided in response to the random road disturbance of different road classes. Training and testing acceleration response data are generated by Mtalb/simulink and fed to different classification algorithms that are trained and tested to distinguish between the different damping degradation values, in order to assess their performance in terms of classification accuracy as well as their confusion matrix. In addition, the worthiness of applying Principal Component Analysis (PCA), as a dimensional reduction technique, to increase all candidate classification algorithms is explored. Finally, the results of Quadratic Support Vector Machine showed the best performance in terms of accuracy and confusion matrix, while using dimensional reduction turned to be inefficient.

Paper Citation

in Harvard Style

Abdelfattah A. and Ibrahim H. (2021). Health Monitoring of Automotive Suspension System using Machine Learning. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 325-332. DOI: 10.5220/0010402503250332

in Bibtex Style

@conference{vehits21,
author={Ahmed Abdelfattah and Hesham Ibrahim},
title={Health Monitoring of Automotive Suspension System using Machine Learning},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={325-332},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010402503250332},
isbn={978-989-758-513-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Health Monitoring of Automotive Suspension System using Machine Learning
SN - 978-989-758-513-5
AU - Abdelfattah A.
AU - Ibrahim H.
PY - 2021
SP - 325
EP - 332
DO - 10.5220/0010402503250332