Maneuver-based deep learning parameter identification of vehicle suspensions subjected to performance degradation-Reference-Cited by-同舟云学术

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Maneuver-based deep learning parameter identification of vehicle suspensions subjected to performance degradation

Published:2022-06-12 Issue:5 Volume:61 Page:1260-1276
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Pan Yongjun¹,Sun Yu¹,Min Chuan¹,Li Zhixiong²,Gardoni Paolo³

Affiliation:

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, People's Republic of China

2. Faculty of Mechanical Engineering, Opole University of Technology, Opole, Poland

3. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA

Funder

National Natural Science Foundation of China

State Key Laboratory of Mechanical System and Vibration

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2022.2084424

Reference38 articles.

1. Reduction of low frequency vibration of truck driver and seating system through system parameter identification, sensitivity analysis and active control

2. An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system

3. Vibration signal–based fault diagnosis in complex structures: A beam-like structure approach

4. Active Adaptive Estimation and Control for Vehicle Suspensions With Prescribed Performance

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1. Mechanical safety prediction of a battery-pack system under low speed frontal impact via machine learning;Engineering Analysis with Boundary Elements;2024-03

2. A Novel Parameter Estimation Scheme for Vehicle Suspension Systems Based on Response and Test Track Prioritization;Applied Sciences;2023-09-14

3. Study on Multi-Mode Switching Control Strategy of Active Suspension Based on Road Estimation;Sensors;2023-03-21

4. Crushing stress and vibration fatigue-life optimization of a battery-pack system;Structural and Multidisciplinary Optimization;2023-02-18

5. Development of a compliant dashpot model with nonlinear and linear behaviors for the contact of multibody systems;Mechanical Systems and Signal Processing;2023-02

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