Fault detection of urban rail vehicle suspension system based on acceleration measurements
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx5/6257544/6265869/06265989.pdf?arnumber=6265989
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fault identification of the vehicle suspension system based on binocular vision and kinematic decoupling;Mechanical Sciences;2024-08-13
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5. Deep learning-based fault diagnostic network of high-speed train secondary suspension systems for immunity to track irregularities and wheel wear;Railway Engineering Science;2021-10-20
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