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 …

A critical review on structural health monitoring: Definitions, methods, and perspectives

VR Gharehbaghi, E Noroozinejad Farsangi… - … methods in engineering, 2022 - Springer
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 …

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

Y Bao, Z Tang, H Li, Y Zhang - Structural Health Monitoring, 2019 - journals.sagepub.com
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 …

Piezoelectric transducer-based structural health monitoring for aircraft applications

X Qing, W Li, Y Wang, H Sun - Sensors, 2019 - mdpi.com
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 …

A review on recent developments in vibration-based damage identification methods for laminated composite structures: 2010–2022

P Chaupal, P Rajendran - Composite Structures, 2023 - Elsevier
Laminated composites received great attention in the structural applications due 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 …

Vibration‐based structural condition assessment using convolution neural networks

H Khodabandehlou, G Pekcan… - Structural Control and …, 2019 - Wiley Online Library
A novel vibration‐based structural health monitoring (SHM) approach that uses two‐
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

G Gui, H Pan, Z Lin, Y Li, Z Yuan - KSCE Journal of Civil Engineering, 2017 - Springer
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 …

A data-based structural health monitoring approach for damage detection in steel bridges using experimental data

BT Svendsen, GT Frøseth, O Øiseth… - Journal of Civil Structural …, 2022 - Springer
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 …

An introduction to structural health monitoring

CR Farrar, K Worden - Philosophical Transactions of the …, 2007 - royalsocietypublishing.org
The process of implementing a damage identification strategy for aerospace, civil and
mechanical engineering infrastructure is referred to as structural health monitoring (SHM) …