Effects of environmental and operational conditions on structural health monitoring and non-destructive testing: A systematic review

A Keshmiry, S Hassani, M Mousavi, U Dackermann - Buildings, 2023 - mdpi.com
The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …

Unsupervised learning framework for temperature compensated damage identification and localization in ultrasonic guided wave SHM with transfer learning

S Sawant, A Sethi, S Banerjee, S Tallur - Ultrasonics, 2023 - Elsevier
Damage localization algorithms for ultrasonic guided wave-based structural health
monitoring (GW-SHM) typically utilize manually-defined features and supervised machine …

Active sensing ultrasonic guided wave-based damage diagnosis via stochastic stationary time-series models

S Ahmed, F Kopsaftopoulos - Structural Health Monitoring, 2024 - journals.sagepub.com
In the context of acousto-ultrasonic guided wave-based structural health monitoring, a
statistical damage detection and identification (collectively referred to as damage diagnosis) …

Combined two-level guided wave structural health monitoring strategy using multifeature integration and machine learning: application to early-age grouted sleeves

J Liu, J Yi, D Li, X Cui, J Zhou - Smart Materials and Structures, 2023 - iopscience.iop.org
Structural health monitoring of grouted sleeves is one of the assembly industry's huge
challenges. In this study, a combined two-level damage detection was introduced. It …

Gaussian process regression for active sensing probabilistic structural health monitoring: experimental assessment across multiple damage and loading scenarios

A Amer, F Kopsaftopoulos - Structural health monitoring, 2023 - journals.sagepub.com
In the near future, Structural Health Monitoring (SHM) technologies will be capable of
overcoming the drawbacks in the current maintenance and life-cycle management …

Defect detection and localisation using guided wave images from array data processed by nonlinear autoregressive exogenous model and Gamma statistical operator

K Wang, J Zhang, Y Xiao… - Structural Health …, 2024 - journals.sagepub.com
Guided wave structural health monitoring (GWSHM) systems, using the delay-and-sum
imaging algorithm, are an efficient solution to detect and localise defects in industrial …

Detection of weld defects using ultrasonic-guided waves based on matching pursuit and density peak clustering

H Mao, J Ren, Y Tang, H Mao, Y Chen… - Transactions of the …, 2023 - journals.sagepub.com
Due to the fish scale surface of the weld seam, the guided wave dispersion is intensified,
resulting in serious mode aliasing problem of the detected signal. It is difficult to analyze …

Probabilistic transfer learning through ensemble probabilistic deep neural network

SK Ravi, P Pandita, S Ghosh, A Bhaduri… - AIAA SCITECH 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-1479. vid Design optimization has
been a long standing endeavor of engineers and designers. With the advent of machine …

Active sensing acousto-ultrasound SHM via stochastic time series models

S Ahmed, F Kopsaftopoulos - Health Monitoring of Structural …, 2022 - spiedigitallibrary.org
In this work, a statistical damage diagnosis scheme using stochastic time series models in
the context of acousto ultrasound guided wave-based structural health monitoring (SHM) …

Local and Global Structural Health Monitoring via Stochastic Functional Time Series Methods: A Critical Assessment and Comparison

S Ahmed, P Zhou, S Zager… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3460. vid In the arena of structural
health monitoring (SHM), ultrasonic guided wave-based and vibration-based damage …