Computational framework for risk-based planning of inspections, maintenance and condition monitoring using discrete Bayesian networks-Reference-Cited by-同舟云学术

Computational framework for risk-based planning of inspections, maintenance and condition monitoring using discrete Bayesian networks

Published:2017-10-13 Issue:8 Volume:14 Page:1082-1094
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Nielsen Jannie Sønderkær¹^ORCID,Sørensen John Dalsgaard¹

Affiliation:

1. Department of Civil Engineering, Aalborg University, Aalborg, Denmark

Funder

Seventh Framework Programme

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2017.1387155

Reference23 articles.

1. A Bayesian network to evaluate underground rails maintenance strategies in an automation context

2. A dynamic Bayesian network to represent discrete duration models

3. Integration of Maintenance Strategies into Prognosis Process to Decision-Making Aid on System Operation

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