Multi-axis fatigue load spectrum editing for automotive components using generalized S-transform

Author:

Liu XiangnanORCID,Tan Jinghai,Long ShangbinORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference32 articles.

1. A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring;Ming;Int J Hydrogen Energy,2023

2. A new algorithm for fatigue life assessment of automotive safety components based on the probabilistic approach: the case of the steering knuckle;Kashyzadeh;Eng Sci Technol Int J,2020

3. Fatigue life prediction of metal materials under random loads based on load spectrum extrapolation;Wu;Int J Fatigue,2024

4. Evaluation of small cycle omission criteria for shortening of fatigue service histories;Conle;Int J Fatigue,1979

5. Fatigue damage editing for accelerated durability testing using strain range and SWT parameter criteria;Stephens;Int J Fatigue,1997

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