Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
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Updated
Oct 4, 2021 - Python
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
The effect quantity is decomposed into water pressure component, temperature component and aging component, and the diagram is made automatically. Refer to Prof. Wu Zhongru's Safety Monitoring Theory & It's Appliaction of Hydraulic Structures
Raspberry Pi based Software Framework for the application in Structural Health Monitoring
An embedded appliance of Frecuency Domain Decomposition for Structural Health Monitoring focus on Modal adquisition system
This repository contains Python scripts used to obtain results from the paper "A Latent Variable Approach for Mitigation of Environmental and Operational Variability in Vibration-Based SHM – A Linear Approach," presented at the EWSHM2024.
Frequency Domain Decomposition, including Peak Picking technique
Defect Detection and Quantification Toolbox
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