A Bayesian Probabilistic Approach for Acoustic Emission-Based Rail Condition Assessment-Reference-Cited by-同舟云学术

A Bayesian Probabilistic Approach for Acoustic Emission-Based Rail Condition Assessment

Published:2017-10-23 Issue:1 Volume:33 Page:21-34
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer-Aided Civil and Infrastructure Engineering

Author:

Wang Junfang¹²,Liu Xiao-Zhou¹²,Ni Yi-Qing¹²

Affiliation:

1. Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center; The Hong Kong Polytechnic University; Hung Hom, Kowloon Hong Kong

2. Department of Civil and Environmental Engineering; The Hong Kong Polytechnic University; Hung Hom, Kowloon Hong Kong

Funder

Research Institute for Sustainable Urban Development

Hong Kong Polytechnic University

Innovation and Technology Commission - Hong Kong

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/mice.12316/fullpdf

Reference71 articles.

1. Dynamic fuzzy wavelet neural network model for structural system identification;Adeli;Journal of Structural Engineering,2006

2. Posterior Bayes factors;Aitkin;Journal of the Royal Statistical Society,1991

3. Signal processing techniques for vibration-based health monitoring of structures;Amezquita-Sanchez;Archives of Computational Methods in Engineering,2016

4. A Bayesian model to assess rail track geometry degradation through its life-cycle;Andrade;Research in Transportation Economics,2012

5. Locally weighted learning;Atkeson;Artificial Intelligence Review,1997

Cited by 68 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. Hybrid Pixel-Level Crack Segmentation for Ballastless Track Slab Using Digital Twin Model and Weakly Supervised Style Transfer;Structural Control and Health Monitoring;2024-01-25

2. Damage Identification of Turnout Rail through a Covariance-Based Condition Index and Quantitative Pattern Analysis;Infrastructures;2023-12-08

3. Intelligent recognition of defects in high‐speed railway slab track with limited dataset;Computer-Aided Civil and Infrastructure Engineering;2023-10-12

4. Study on acoustic emission properties and crack growth rate identification of rail steels under different fatigue loading conditions;International Journal of Fatigue;2023-07

5. On polymorphic uncertainty modeling in shell buckling;Computer-Aided Civil and Infrastructure Engineering;2023-06-09