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A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection

Vagnoli, Matteo; Remenyte-Prescott, Rasa; Andrews, John

Authors

Matteo Vagnoli

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management



Abstract

More than 35% of the European railway bridges are over 100 years old and the increasing traffic loads are pushing the railway infrastructure to its limits. Bridge condition-monitoring strategies can help the railway industry to improve safety, availability and reliability of the network. In this paper, a Bayesian Belief Network method for condition monitoring and fault detection of a truss steel railway bridge is proposed by relying on a fuzzy analytical hierarchy process of expert knowledge. The BBN method is proposed for obtaining the bridge health state and identifying the most degraded bridge elements. A Finite Element model is developed for simulating the bridge behaviour and studying a degradation mechanism. The proposed approach originally captures the interactions existing between the health state of different bridge elements and, furthermore, when the evidence about the displacement is introduced in the BBN, the health state of the bridge is updated.

Citation

Vagnoli, M., Remenyte-Prescott, R., & Andrews, J. (2017). A fuzzy-based Bayesian Belief Network approach for railway bridge condition monitoring and fault detection. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

Acceptance Date Feb 1, 2017
Publication Date May 25, 2017
Deposit Date Mar 6, 2017
Publicly Available Date May 25, 2017
Peer Reviewed Peer Reviewed
Book Title Safety and Reliability – Theory and Application: ESREL 2017
ISBN 9781138629370
Public URL https://nottingham-repository.worktribe.com/output/862124
Publisher URL https://www.crcpress.com/ESREL-2017-Portoroz-Slovenia-18-22-June-2017/Cepin-Bris/p/book/9781138629370
Additional Information Papers presented at ESREL 2017 will be published in the conference proceedings issued by Taylor and Francis, CRC Press: Safety and Reliability – Theory and Application: ESREL 2017. https://www.crcpress.com/ESREL-2017-Portoroz-Slovenia-18-22-June-2017/Cepin-Bris/p/book/9781138629370

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