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Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
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 …
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
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 …
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
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 …
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 …
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 …
mechanical properties. It is difficult to analyze the integrity and durability of composite …
Artificial intelligence techniques for smart city applications
Recent developments in artificial intelligence (AI), in particular machine learning (ML), have
been significantly advancing smart city applications. Smart infrastructure, which is an …
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
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 …
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
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 …
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
Abstract Structural Health Monitoring (SHM) enables the rapid assessment of structural
integrity in the immediate aftermath of strong ground motions. Data-driven techniques, often …
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
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 …
statistical relationships for various engineering problems. The pairing of structural health …