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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 …
A critical review on structural health monitoring: Definitions, methods, and perspectives
The benefits of tracking, identifying, measuring features of interest from structure responses
have endless applications for saving cost, time and improving safety. To date, structural …
have endless applications for saving cost, time and improving safety. To date, structural …
Computer vision and deep learning–based data anomaly detection method for structural health monitoring
The widespread application of sophisticated structural health monitoring systems in civil
infrastructures produces a large volume of data. As a result, the analysis and mining of …
infrastructures produces a large volume of data. As a result, the analysis and mining of …
Piezoelectric transducer-based structural health monitoring for aircraft applications
Structural health monitoring (SHM) is being widely evaluated by the aerospace industry as a
method to improve the safety and reliability of aircraft structures and also reduce operational …
method to improve the safety and reliability of aircraft structures and also reduce operational …
A review on recent developments in vibration-based damage identification methods for laminated composite structures: 2010–2022
Laminated composites received great attention in the structural applications due to
innumerable advantages over conventional materials. These structures are subjected to …
innumerable advantages over conventional materials. These structures are subjected to …
Structural health monitoring framework based on Internet of Things: A survey
CA Tokognon, B Gao, GY Tian… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) has recently received a great attention due to its potential and
capacity to be integrated into any complex system. As a result of rapid development of …
capacity to be integrated into any complex system. As a result of rapid development of …
Vibration‐based structural condition assessment using convolution neural networks
A novel vibration‐based structural health monitoring (SHM) approach that uses two‐
dimensional deep convolution neural networks (CNN) is introduced. The CNN extracts the …
dimensional deep convolution neural networks (CNN) is introduced. The CNN extracts the …
Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection
Rapid detecting damages/defeats in the large-scale civil engineering structures, assessing
their conditions and timely decision making are crucial to ensure their health and ultimately …
their conditions and timely decision making are crucial to ensure their health and ultimately …
A data-based structural health monitoring approach for damage detection in steel bridges using experimental data
There is a need for reliable structural health monitoring (SHM) systems that can detect local
and global structural damage in existing steel bridges. In this paper, a data-based SHM …
and global structural damage in existing steel bridges. In this paper, a data-based SHM …
An introduction to structural health monitoring
The process of implementing a damage identification strategy for aerospace, civil and
mechanical engineering infrastructure is referred to as structural health monitoring (SHM) …
mechanical engineering infrastructure is referred to as structural health monitoring (SHM) …