This is a Python implementation of the paper titled "Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks". A binary classification problem is ...

This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades. python computer-vision ...

An effective structural health monitoring system ensures that bridge structures are safe and durable. This paper introduces an innovative approach toward the automation of bridge inspection and the ...

Abstract. Need for developing efficient non-destructive damage detection procedures for civil engineering structures is growing rapidly. This paper presents a methodology for detection and ...

Structural health monitoring (SHM) and damage detection are rapidly evolving disciplines aimed at ensuring the longevity, safety and reliability of civil and industrial structures.

Structural health monitoring (SHM) is an important application area for wireless sensor networks. SHM techniques attempt to autonomously detect and localize damage in large civil structures.

Figure 13 is the damage detection results using the 1st row/column of the flexibility matrix, we can see there is a very big peak value of Damage Case 4-4 in DOF 20. As a result, the damage can still ...

Abstract. A method is proposed for detecting damage to shear structure s by using Support Vector Machine (SVM) and only the first three natural frequencies of the translational modes. This method is ...

[5] Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors. Scientific Reports (2022).