Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
Author(s): |
Chenzhong Li
(Key Laboratory of High‐speed Railway Engineering Ministry of Education Southwest Jiaotong University Chengdu China)
Qing He (Key Laboratory of High‐speed Railway Engineering Ministry of Education Southwest Jiaotong University Chengdu China) Ping Wang (Key Laboratory of High‐speed Railway Engineering Ministry of Education Southwest Jiaotong University Chengdu China) |
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Medium: | journal article |
Language(s): | English |
Published in: | Computer-Aided Civil and Infrastructure Engineering, 18 July 2022, n. 10, v. 37 |
Page(s): | 1260-1276 |
DOI: | 10.1111/mice.12802 |
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data sheet - Reference-ID
10646463 - Published on:
10/01/2022 - Last updated on:
13/08/2022