Resonant automotive suspension device detection bench based on fuzzy comprehensive recognition algorithm Online publication date: Mon, 31-Jan-2022
by Xuelian Tian
International Journal of Industrial and Systems Engineering (IJISE), Vol. 39, No. 4, 2021
Abstract: Suspension affects the stability, ride comfort, handling stability, safety and other performance of the body. In this paper, the fuzzy comprehensive identification algorithm is introduced into the vehicle resonance suspension device detection. The fuzzy comprehensive identification algorithm is used to identify the vehicle mode, calculate the change of vehicle inertia parameters, and propose a higher damping ratio which has a greater impact on the vehicle identification results. Based on the fuzzy comprehensive identification (FCRA) algorithm, a resonant vehicle suspension device detection platform is proposed, which detects the resonant vehicle suspension device caused by the fault by the change of the fuzzy comprehensive identification coefficient and the required modal parameters of the output. The test results show that the performance of the resonant suspension device test-bed is stable and can meet the needs of the performance test of the vehicle suspension device.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook