Structural health monitoring research under varying temperature condition: A review

Q Han, Q Ma, J Xu, M Liu - Journal of Civil Structural Health Monitoring, 2021 - Springer
Suffering from solar radiation, day–night replacement and seasonal changes, the structure
will produce notable temperature behaviour, which has a vital effect on the long-term …

Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review

K Eltouny, M Gomaa, X Liang - Sensors, 2023 - mdpi.com
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …

Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring

Z Tang, Z Chen, Y Bao, H Li - Structural Control and Health …, 2019 - Wiley Online Library
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …

A novel deep learning-based method for damage identification of smart building structures

Y Yu, C Wang, X Gu, J Li - Structural Health Monitoring, 2019 - journals.sagepub.com
In the past few years, intelligent structural damage identification algorithms based on
machine learning techniques have been developed and obtained considerable attentions …

Eliminating environmental and operational effects on structural modal frequency: A comprehensive review

Z Wang, DH Yang, TH Yi, GH Zhang… - Structural Control and …, 2022 - Wiley Online Library
Modal frequencies are widely used for vibration‐based structural health monitoring (SHM)
and for capturing the dynamics of a monitored structure to reveal possible failures. However …

Review of machine-learning techniques applied to structural health monitoring systems for building and bridge structures

A Gomez-Cabrera, PJ Escamilla-Ambrosio - Applied Sciences, 2022 - mdpi.com
This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …

Temperature effect on vibration properties and vibration-based damage identification of bridge structures: A literature review

J Luo, M Huang, Y Lei - Buildings, 2022 - mdpi.com
In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …

An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade

A Movsessian, DG Cava, D Tcherniak - Mechanical Systems and Signal …, 2021 - Elsevier
This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …

Structural damage detection based on variational mode decomposition and kernel PCA-based support vector machine

HB Bisheh, GG Amiri - Engineering Structures, 2023 - Elsevier
This paper proposes a novel structural damage detection method by combining the
advantages of variational mode decomposition algorithm and kernel principal component …

Effects of environmental and operational conditions on structural health monitoring and non-destructive testing: A systematic review

A Keshmiry, S Hassani, M Mousavi, U Dackermann - Buildings, 2023 - mdpi.com
The development of Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT)
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …