Vibration feature extraction using signal processing techniques for structural health monitoring: A review
Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …
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 …
innumerable advantages over conventional materials. These structures are subjected to …
Deep learning for detecting building defects using convolutional neural networks
Clients are increasingly looking for fast and effective means to quickly and frequently survey
and communicate the condition of their buildings so that essential repairs and maintenance …
and communicate the condition of their buildings so that essential repairs and maintenance …
Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: A model steel truss bridge case study
Signal processing is one of the essential components in vibration-based approaches and
damage detection for structural health monitoring. Since signals in the real world are often …
damage detection for structural health monitoring. Since signals in the real world are often …
Structural damage localization and quantification based on a CEEMDAN Hilbert transform neural network approach: a model steel truss bridge case study
Vibrations of complex structures such as bridges mostly present nonlinear and non-
stationary behaviors. Recently, one of the most common techniques to analyze the nonlinear …
stationary behaviors. Recently, one of the most common techniques to analyze the nonlinear …
Practical implementation of structural health monitoring in multi-story buildings
A Sivasuriyan, DS Vijayan, W Górski, Ł Wodzyński… - Buildings, 2021 - mdpi.com
This study investigated operational and structural health monitoring (SHM) as well as
damage evaluations for building structures. The study involved damage detection and the …
damage evaluations for building structures. The study involved damage detection and the …
Ensemble learning‐based structural health monitoring by Mahalanobis distance metrics
H Sarmadi, A Entezami… - Structural Control and …, 2021 - Wiley Online Library
Environmental variability is still a major challenge in structural health monitoring. Due to the
similarity of changes caused by environmental variations to damage, false positive and false …
similarity of changes caused by environmental variations to damage, false positive and false …
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 …
A review on structural health monitoring: past to present
The field of structural health monitoring (SHM) has gained significant attention from
academia and industry, particularly in the realm of damage detection. This approach allows …
academia and industry, particularly in the realm of damage detection. This approach allows …
Current and future role of data fusion and machine learning in infrastructure health monitoring
Rapid advances in infrastructure health monitoring and sensing technologies allow the
monitoring of infrastructure assets continuously and in real-time throughout their life span …
monitoring of infrastructure assets continuously and in real-time throughout their life span …