Fault Diagnosis Based on Model and Dynamic Behavior of Vehicle Suspension System

Document Type : Research Article

Authors

Department of Mechanical Engineering, Ferdowsi University, Mashhad, Iran.

Abstract

This research, proposes a new effective and practical method, based on the model and dynamic behavior of vehicles for accurate and fast fault diagnoses of their suspension system. So far, a variety of complicated and impractical algorithms have been presented to identify the suspension system faults. In this method, there is no need to use special equipment and tests to diagnosis the fault, in the event of fault appearance, whenever the vehicle passes over obstacles with a necessary excitation threshold such as a speed bumper, the user is alerted, accordingly the position and size of the fault are determined. Designing a suitable structure and using neural-fuzzy networks to identify faults plays an important role in reducing the error of fault diagnosis. Reducing the number, type of sensors (using only the accelerometer sensor), not relying on high sample rates, low-cost and easy to use are other advantages of the proposed method. The fault diagnosis system performance and implementation ability is verified and confirmed by designing and conducting different experiments.

Keywords

Main Subjects

References

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Amirkabir Journal of Mechanical Engineering
Volume 52, Issue 1
April 2020
Pages 27-42

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