Structural health monitoring research under varying temperature condition: A review
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 …
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
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
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
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …
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
In the past few years, intelligent structural damage identification algorithms based on
machine learning techniques have been developed and obtained considerable attentions …
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 …
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 …
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
In civil engineering structures, modal changes produced by environmental conditions,
especially temperature, can be equivalent to or greater than the ones produced by damage …
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
This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …
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
This paper proposes a novel structural damage detection method by combining the
advantages of variational mode decomposition algorithm and kernel principal component …
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
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 …
techniques has rapidly evolved and matured over the past few decades. Advances in sensor …