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Found 4 papers, 1 papers with code
Smart structural health monitoring (SHM) system for on-board localization of defects in pipes using torsional ultrasonic guided waves
Experimental results obtained using a C-clamp for applying mass loading on the pipe show good agreement with the FE simulations.
Classification of Various Types of Damages in Honeycomb Composite Sandwich Structures using Guided Wave Structural Health Monitoring
We believe that we are the first to report numerical models for four types of damages in HCSS, which is followed up with experimental validation.
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device
Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units (GPUs), various deep learning based models have been proposed for improving performance of ultrasonic guided wave structural health monitoring (GW-SHM) systems, especially to counter complexity and heterogeneity in data due to varying environmental factors (e. g., temperature) and types of damages.
Environmental variation compensated damage classification and localization in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models
Features learnt by the CNNs are used for damage classification and localization of damage by modeling the probability distribution of the features using GMMs.
