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 …
State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review
Machine learning (ML) has evolved rapidly over recent years with the promise to
substantially alter and enhance the role of data science in a variety of disciplines. Compared …
substantially alter and enhance the role of data science in a variety of disciplines. Compared …
A novel machine learning‐based algorithm to detect damage in high‐rise building structures
A novel model is presented for global health monitoring of large structures such as high‐rise
building structures through adroit integration of 2 signal processing techniques …
building structures through adroit integration of 2 signal processing techniques …
Signal processing techniques for vibration-based health monitoring of smart structures
Signal processing is the key component of any vibration-based structural health monitoring
(SHM). The goal of signal processing is to extract subtle changes in the vibration signals in …
(SHM). The goal of signal processing is to extract subtle changes in the vibration signals in …
Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
An accurate response prediction model is of great importance in various applications such
as damage detection, structural health monitoring, and vibration control. Development of …
as damage detection, structural health monitoring, and vibration control. Development of …
Spiking neural networks
S Ghosh-Dastidar, H Adeli - International journal of neural systems, 2009 - World Scientific
Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …
dynamics. They have been used as powerful computational tools to solve complex pattern …
Structural displacement measurement using an unmanned aerial system
Abstract Vibration‐based Structural Health Monitoring (SHM) is one of the most popular
solutions to assess the safety of civil infrastructure. SHM applications all begin with …
solutions to assess the safety of civil infrastructure. SHM applications all begin with …
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 …
3D displacement measurement model for health monitoring of structures using a motion capture system
Unlike 1D or 2D displacement measurement sensors, a motion capture system (MCS) can
determine the movement of markers in any direction precisely. In addition, an MCS can …
determine the movement of markers in any direction precisely. In addition, an MCS can …