[HTML][HTML] Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects
Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …
structural safety of critical components in high-value applications. Early defects are often …
Ultrasonic guided-waves sensors and integrated structural health monitoring systems for impact detection and localization: A review
L Capineri, A Bulletti - Sensors, 2021 - mdpi.com
This review article is focused on the analysis of the state of the art of sensors for guided
ultrasonic waves for the detection and localization of impacts for structural health monitoring …
ultrasonic waves for the detection and localization of impacts for structural health monitoring …
An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm
X Li, H Jiang, M Niu, R Wang - Mechanical Systems and Signal Processing, 2020 - Elsevier
Rolling bearing fault diagnosis is a meaningful yet challengeable task. To improve the
performance of rolling bearing fault diagnosis, this paper proposes an enhanced selective …
performance of rolling bearing fault diagnosis, this paper proposes an enhanced selective …
A transfer learning approach for acoustic emission zonal localization on steel plate-like structure using numerical simulation and unsupervised domain adaptation
The detection and localization of damage in metallic structures using acoustic emission (AE)
monitoring and artificial intelligence technology such as deep learning has been widely …
monitoring and artificial intelligence technology such as deep learning has been widely …
Uncertainty‐assisted deep vision structural health monitoring
Computer vision leveraging deep learning has achieved significant success in the last
decade. Despite the promising performance of the existing deep vision inspection models …
decade. Despite the promising performance of the existing deep vision inspection models …
Developing a heterogeneous ensemble learning framework to evaluate Alkali-silica reaction damage in concrete using acoustic emission signals
The monitoring and evaluation of Alkali-silica reaction (ASR) damage in concrete structures
are required to ensure the serviceability and integrity of concrete infrastructures such as …
are required to ensure the serviceability and integrity of concrete infrastructures such as …
Localizing damage on stainless steel structures using acoustic emission signals and weighted ensemble regression-based convolutional neural network
Nuclear power generation is an essential part of the electrical supply in the United States,
and it is an effective way to achieve low carbon power generation. Nuclear power …
and it is an effective way to achieve low carbon power generation. Nuclear power …
Study on accuracy metrics for evaluating the predictions of damage locations in deep piles using artificial neural networks with acoustic emission data
A Jierula, S Wang, TM Oh, P Wang - Applied Sciences, 2021 - mdpi.com
Accuracy metrics have been widely used for the evaluation of predictions in machine
learning. However, the selection of an appropriate accuracy metric for the evaluation of a …
learning. However, the selection of an appropriate accuracy metric for the evaluation of a …
[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
Acoustic emission based damage source localization for structural digital twin of wind turbine blades
Z Zhao, NZ Chen - Ocean engineering, 2022 - Elsevier
An improved acoustic emission (AE) based structural damage source localization method for
wind turbine blade is proposed in this paper. Firstly, the dispersion relations of wind turbine …
wind turbine blade is proposed in this paper. Firstly, the dispersion relations of wind turbine …