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Real-Time Damage Detection in Beams by Amir Javadi is a document available to read on EtoBox.

What is Real-Time Damage Detection in Beams about?

This project aims to create a structural health monitoring system that detects and localizes damage in beams using vibration analysis and machine learning. It involves collecting acceleration data, transforming it to the frequency domain, calculating the Frequency Response Function (FRF), and training a machine learning model to identify damage. The system will provide real-time monitoring and damage detection based on user-defined parameters.

Author

Amir Javadi

Language

EN