Probabilistic outlier detection for robust regression modeling of structural response for high-speed railway track monitoring
Author(s): |
Qi Li
Jingze Gao (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, School of Civil Engineering, Harbin Institute of Technology, Harbin, China) James L. Beck (Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA) Chao Lin (China Railway Siyuan Survey and Design Group Co., Ltd., WuHan, China) Yong Huang Hui Li |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, July 2023, n. 2, v. 23 |
Page(s): | 1280-1296 |
DOI: | 10.1177/14759217231184584 |
- About this
data sheet - Reference-ID
10739187 - Published on:
03/09/2023 - Last updated on:
25/04/2024