Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data-Reference-Cited by-同舟云学术

Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data

Published:2014-05 Issue: Volume:125 Page:153-164
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Morales-Nápoles Oswaldo,Steenbergen Raphaël D.J.M.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference29 articles.

1. Improving truck safety: potential of weigh-in-motion technology;Jacob;IATSS Res,2010

2. Dienst Weg en Waterbouwkunde. Weigh in motion. het aslastmeetsysteem van rijkwaterstaat. Brochoure, Postbus 5044, 2600GA Delft, November 2004 [accessed on July 28, 2010].

3. Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas;Weber;Eng Appl Artif Intell,2012

4. Bayesian networks in reliability;Langseth;Reliab Eng Syst Safety,2007

5. Inference in hybrid Bayesian networks;Langseth;Reliab Eng Syst Safety,2009

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