Structural health monitoring using wireless sensor networks: A comprehensive survey

AB Noel, A Abdaoui, T Elfouly… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Structural health monitoring (SHM) using wireless sensor networks (WSNs) has gained
research interest due to its ability to reduce the costs associated with the installation and …

Machine learning for structural health monitoring: challenges and opportunities

FG Yuan, SA Zargar, Q Chen… - Sensors and smart …, 2020 - spiedigitallibrary.org
A physics-based approach to structural health monitoring (SHM) has practical shortcomings
which restrict its suitability to simple structures under well controlled environments. With the …

Structural damage detection with automatic feature‐extraction through deep learning

Y Lin, Z Nie, H Ma - Computer‐Aided Civil and Infrastructure …, 2017 - Wiley Online Library
Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …

Empirical mode decomposition and its variants: A review with applications in structural health monitoring

M Barbosh, P Singh, A Sadhu - Smart Materials and Structures, 2020 - iopscience.iop.org
Structural health monitoring (SHM) is one of the most emerging approaches for early
damage detection, which leads to improved safety and efficient maintenance of large-scale …

Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: A model steel truss bridge case study

AA Mousavi, C Zhang, SF Masri… - Structural Health …, 2022 - journals.sagepub.com
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 …

Hilbert transform in vibration analysis

M Feldman - Mechanical systems and signal processing, 2011 - Elsevier
This paper is a tutorial on Hilbert transform applications to mechanical vibration. The
approach is accessible to non-stationary and nonlinear vibration application in the time …

Past, present and future of nonlinear system identification in structural dynamics

G Kerschen, K Worden, AF Vakakis… - Mechanical systems and …, 2006 - Elsevier
This survey paper contains a review of the past and recent developments in system
identification of nonlinear dynamical structures. The objective is to present some of the …

Structural damage localization and quantification based on a CEEMDAN Hilbert transform neural network approach: a model steel truss bridge case study

AA Mousavi, C Zhang, SF Masri, G Gholipour - Sensors, 2020 - mdpi.com
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 …

[图书][B] Transforms and applications handbook

AD Poularikas, AM Grigoryan - 2018 - taylorfrancis.com
Updating the original, Transforms and Applications Handbook, Third Edition solidifies its
place as the complete resource on those mathematical transforms most frequently used by …

Development in vibration-based structural damage detection technique

YJ Yan, L Cheng, ZY Wu, LH Yam - Mechanical systems and signal …, 2007 - Elsevier
This paper presents a general summary and review of state-of-the-art and development of
vibration-based structural damage detection. Various structural damage detection methods …