Articles | Volume 15, issue 2
https://doi.org/10.5194/ms-15-445-2024
https://doi.org/10.5194/ms-15-445-2024
Research article
 | 
13 Aug 2024
Research article |  | 13 Aug 2024

Fault identification of the vehicle suspension system based on binocular vision and kinematic decoupling

Hong Wei, Fulong Liu, Guoxing Li, Xingchen Yun, Muhammad Yousaf Iqbal, and Fengshou Gu

Related subject area

Subject: Mechanisms and Robotics | Techniques and Approaches: Mathematical Modeling and Analysis
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Cited articles

Abubakar, S., Ahmad, I. S., Gambo, F. L., and Gadanya, M. S.: A Rule-Based Expert System for Automobile Fault Diagnosis, International Journal on Perceptive and Cognitive Computing (IJPCC), 7, 20–25, 2021. 
Alcantara, D. H., Morales-Menendez, R., and Amezquita-Brooks, L.: Fault diagnosis for an automotive suspension using particle filters, in: 2016 European Control Conference (ECC), Aalborg, Denmark, 29 June–1 July 2016, IEEE 1898–1903, https://doi.org/10.1109/ECC.2016.7810568, 2016. 
Arun Balaji, P. and Sugumaran, V.: A Bayes learning approach for monitoring the condition of suspension system using vibration signals, IOP Conf. Ser.-Mat. Sci., 1012, 012029, https://doi.org/10.1088/1757-899X/1012/1/012029, 2021. 
Bai, Y., Sezen, H., Yilmaz, A., and Qin, R.: Bridge vibration measurements using different camera placements and techniques of computer vision and deep learning, ABEN, 4, 25, https://doi.org/10.1186/s43251-023-00105-1, 2023. 
Białkowski, P. and Krężel, B: Diagnostic of shock absorbers during road test with the use of vibration FFT and cross-spectrum analysis, Diagnostyka, 18, 79–86, 2017. 
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Short summary
Vibration measurement technology based on binocular vision and kinematic decoupling is a new method which can effectively extract vertical vibration signal. The proposed method has the advantages of real-time measurement and low cost and overcomes the limitations of traditional measurement methods in error accumulation.