Graphical Empirical Mode Decomposition–Convolutional Neural Network-Based Expert System for Early Corrosion Detection in Truss-Type Bridges

Graphical Empirical Mode Decomposition–Convolutional Neural Network-Based Expert System for Early Corrosion Detection in Truss-Type Bridges

Corrosion is a critical issue in civil structures, significantly affecting their durability and functionality. Detecting corrosion at an early stage is essential to prevent structural failures and ensure safety. This study proposes an expert system based on a novel methodology for corrosion detectio...

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Bibliographic Details
Main Authors: Alan G. Lujan-Olalde, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Martin Valtierra-Rodriguez, Jose M. Machorro-Lopez, Juan P. Amezquita-Sanchez
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Infrastructures
Subjects:
expert system
convolutional neural network
corrosion detection
graphical empirical mode decomposition
truss bridge
vibration analysis
Online Access:https://www.mdpi.com/2412-3811/10/7/177
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