Estimation of railway track longitudinal irregularity using vehicle response with information compression and Bayesian deep learning
Autor(en): |
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: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, 18 Juli 2022, n. 10, v. 37 |
Seite(n): | 1260-1276 |
DOI: | 10.1111/mice.12802 |
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Datenseite - Reference-ID
10646463 - Veröffentlicht am:
10.01.2022 - Geändert am:
13.08.2022