Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

[HTML][HTML] Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications

DA Tibaduiza Burgos, RC Gomez Vargas, C Pedraza… - Sensors, 2020 - mdpi.com
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …

Damage localization in plate-like structures using time-varying feature and one-dimensional convolutional neural network

S Zhang, CM Li, W Ye - Mechanical Systems and Signal Processing, 2021 - Elsevier
Lamb wave-based SHM technology for damage detection and localization in plate-like
structures has typically relied on post-processing of ultrasonic guided waves. Traditionally …

Damage localization for composite structure using guided wave signals with Gramian angular field image coding and convolutional neural networks

Y Liao, X Qing, Y Wang, F Zhang - Composite Structures, 2023 - Elsevier
Accurate detection of damage in composite structures is of great significance to ensure safe
service and avoid catastrophic accidents. In this paper, a novel damage diagnosis method …

Machine learning based quantitative damage monitoring of composite structure

X Qing, Y Liao, Y Wang, B Chen, F Zhang… - International journal of …, 2022 - Taylor & Francis
Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …

Artificial intelligence techniques for smart city applications

D Luckey, H Fritz, D Legatiuk, K Dragos… - Proceedings of the 18th …, 2021 - Springer
Recent developments in artificial intelligence (AI), in particular machine learning (ML), have
been significantly advancing smart city applications. Smart infrastructure, which is an …

A multi-level damage classification technique of aircraft plate structures using Lamb wave-based deep transfer learning network

W Shao, H Sun, Y Wang, X Qing - Smart Materials and Structures, 2022 - iopscience.iop.org
Lamb wave-based damage detection is one of the most promising structural health
monitoring (SHM) technologies for aircraft structures. In this paper, a Lamb wave-based …

[HTML][HTML] Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures

V Ahmadian, SBB Aval, M Noori, T Wang… - … Applications of Artificial …, 2024 - Elsevier
Over the past two decades, an increasing number of large-scale structures have been built
around the world. Constructing these structures has been a time consuming and highly …

Fusing damage-sensitive features and domain adaptation towards robust damage classification in real buildings

P Martakis, Y Reuland, A Stavridis, E Chatzi - Soil Dynamics and …, 2023 - Elsevier
Abstract Structural Health Monitoring (SHM) enables the rapid assessment of structural
integrity in the immediate aftermath of strong ground motions. Data-driven techniques, often …

The intersection of damage evaluation of fiber-reinforced composite materials with machine learning: A review

C Nelon, O Myers, A Hall - Journal of Composite Materials, 2022 - journals.sagepub.com
Machine learning (ML) has emerged as a useful predictive tool based on mathematical and
statistical relationships for various engineering problems. The pairing of structural health …