Damage detection of a cable-stayed bridge based on combining effective intrinsic mode functions of empirical mode decomposition using the feature selection technique

DOI10.1080/17415977.2020.1814280zbMath1472.74104OpenAlexW3083032881MaRDI QIDQ5152254

Masoud Nekooei, Gholamreza Ghodrati Amiri, Ehsan Darvishan, Hossein Babajanian Bisheh

Publication date: 17 September 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2020.1814280

zbMATH Keywords

adaptive signal processingsupport vector machineempirical mode decompositionintrinsic mode functionvibration acceleration data

Mathematics Subject Classification ID

Vibrations in dynamical problems in solid mechanics (74H45) Thin bodies, structures (74K99) Brittle damage (74R05) Inverse problems in dynamical solid mechanics (74H75)

Uses Software

• Matlab
• ReliefF

Cites Work

• Unnamed Item
• Signal processing techniques for vibration-based health monitoring of smart structures
• The vibration monitoring methods and signal processing techniques for structural health monitoring: a review
• Theoretical and empirical analysis of ReliefF and RReliefF
• Damage detection using thermal experiments and wavelet transformation
• Structural damage detection using improved particle swarm optimization
• An iterated IRS technique for cross-sectional damage modelling and identification in beams using limited sensors measurement
• Gene selection for cancer classification using support vector machines

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