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 …
Review of vibration-based structural health monitoring using deep learning
G Toh, J Park - Applied Sciences, 2020 - mdpi.com
With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …
structural health monitoring. When the vibration is used for extracting features for system …
An improved Artificial Neural Network using Arithmetic Optimization Algorithm for damage assessment in FGM composite plates
In this paper, two-stage approaches are proposed to study damage detection, localization
and quantification in Functionally Graded Material (FGM) plate structures. Metal and …
and quantification in Functionally Graded Material (FGM) plate structures. Metal and …
Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis
This paper presents an effective method for crack identification to improve the training of
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm
This paper presents a new approach for damage detection in structures by applying a
flexible combination based on an artificial neural network (ANN) and cuckoo search (CS) …
flexible combination based on an artificial neural network (ANN) and cuckoo search (CS) …
A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification
F Al Thobiani, S Khatir, B Benaissa… - Theoretical and applied …, 2022 - Elsevier
This paper introduces an inverse problem for crack identification in two-dimensional
structures using eXtend Finite Element Method (XFEM) associated with original Grey Wolf …
structures using eXtend Finite Element Method (XFEM) associated with original Grey Wolf …
Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis
This paper proposes a two-stage approach for damage assessment in beam-like structures
using two-dimensional Isogeometric Analysis (IGA) and Finite Element Method (FEM) …
using two-dimensional Isogeometric Analysis (IGA) and Finite Element Method (FEM) …
A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures
Recently, more attention has been paid to Artificial Neural Network (ANN) in the field of
damage identification of engineering structures based on modal analysis. This paper …
damage identification of engineering structures based on modal analysis. This paper …
An efficient approach for damage identification based on improved machine learning using PSO-SVM
Structural health monitoring (SHM) and Non-destructive Damage Identification (NDI) using
responses of structures under dynamic excitation have an imperative role in the engineering …
responses of structures under dynamic excitation have an imperative role in the engineering …
Damage assessment in composite laminates using ANN-PSO-IGA and Cornwell indicator
A simple, yet powerful, new technique based on Artificial Neural Network (ANN) combined
with Particle Swarm Optimization (PSO) for damage quantification in laminated composite …
with Particle Swarm Optimization (PSO) for damage quantification in laminated composite …