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

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

Reference71 articles.

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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

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