An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro‐fuzzy classification

Author:

Vagnoli Matteo1,Remenyte‐Prescott Rasa1ORCID

Affiliation:

1. Resilience Engineering Research Group University of Nottingham Nottingham UK

Publisher

Hindawi Limited

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Reference59 articles.

1. FALL RISK ASSESSMENT OF BRIDGE CONSTRUCTION USING BAYESIAN NETWORK TRANSFERRING FROM FAULT TREE ANALYSIS

2. Categories of SHM Deployments: Technologies and Capabilities

3. Bridge damage detection using ambient traffic and moving force identification

4. A state of the art review of modal‐based damage detection in bridges: development, challenges, and solutions;Moughty JJ;Appl Sci (Switzerland),2017

5. International Railway Association Community of European Railway and Infrastructure “Rail transport and environment facts and figure” ISBN 976‐2‐7461‐2400‐4 2015.

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