A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications

Published in

arXiv.org(2020)

External Links:

Generate Graph DownloadPDF

TL;DR

This paper aims to fulfill the gap by presenting the highlights of the traditional methods and provide a comprehensive review of the most recent applications of ML and DL algorithms utilized for vibration-based structural damage detection in civil structures.

Authors

Onur Avcı

2 papers

Osama Abdeljaber

2 papers

S. Kiranyaz

4 papers

M. Hussein

1 papers

M. Gabbouj

4 papers

D. Inman

1 papers

References223 items

A numerical and experimental investigation of a special type of floating-slab tracks

Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network

Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks

Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring

Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data

A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications

Published in

arXiv.org(2020)

External Links:

Generate Graph DownloadPDF

TL;DR

Authors

Onur Avcı

2 papers

Osama Abdeljaber

2 papers

S. Kiranyaz

4 papers

M. Hussein

1 papers

M. Gabbouj

4 papers

D. Inman

1 papers

References223 items

A numerical and experimental investigation of a special type of floating-slab tracks

Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using Artificial Neural Network

Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks

Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring

Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data

Convolutional Neural Networks for Real-Time and Wireless Damage Detection

Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications

Survey on Deep Learning Algorithms

Deep learning and its applications to machine health monitoring

Vibration‐based structural condition assessment using convolution neural networks

A novel deep learning-based method for damage identification of smart building structures

Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods

Structural damage identification based on autoencoder neural networks and deep learning

Data fusion approaches for structural health monitoring and system identification: Past, present, and future

Emerging artificial intelligence methods in structural engineering

Artificial intelligence for fault diagnosis of rotating machinery: A review

Experimental validation of a deep neural network—Sparse representation classification ensemble method

Ensemble classification method for structural damage assessment under varying temperature

A review on the application of deep learning in system health management

Time-Frequency-Based Data-Driven Structural Diagnosis and Damage Detection for Cable-Stayed Bridges

Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks

Machine Learning Algorithms for Damage Detection

Model-Based Analysis of Spur Gears’ Dynamic Behavior in the Presence of Multiple Cracks

Structural Health Monitoring of Large Civil Engineering Structures

Damage assessment in a sandwich panel based on full-field vibration measurements

Real time damage detection using recursive principal components and time varying auto-regressive modeling

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

Vibration-Based Damage Detection of Bridges under Varying Temperature Effects Using Time-Series Analysis and Artificial Neural Networks

Classification of ECG signals based on 1D convolution neural network

A survey of deep learning-based network anomaly detection

Robust ECG signal classification for detection of atrial fibrillation using a novel neural network

Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias

Sensing and Monitoring for Stadium Structures: A Review of Recent Advances and a Forward Look

Deep Learning: A Practitioner's Approach

Bearing Fault Detection by One-Dimensional Convolutional Neural Networks

A novel machine learning‐based algorithm to detect damage in high‐rise building structures

Numerical and experimental studies on vibration based methods for detection of damage in composite beams

Blind modal identification of non‐classically damped structures under non‐stationary excitations

Damage detection of a truss bridge utilizing a damage indicator from multivariate autoregressive model

A survey of deep neural network architectures and their applications

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

Damage detection using enhanced multivariate statistical process control technique

Introduction to Machine Learning with Python

Structural health monitoring using time reversal and cracked rod spectral element

Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge

Face segmentation in thumbnail images by data-adaptive convolutional segmentation networks

A Bayesian recursive framework for ball-bearing damage classification in rotating machinery

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

Nonparametric structural damage detection algorithm for ambient vibration response: utilizing artificial neural networks and self-organizing maps

A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges

Self-Organizing Maps for Structural Damage Detection: A Novel Unsupervised Vibration-Based Algorithm

Online Sequential Extreme Learning Machine for Vibration-Based Damage Assessment Using Transmissibility Data

Comparison of Data Mining Techniques for Predicting Compressive Strength of Environmentally Friendly Concrete

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

Vibration-based damage detection techniques used for health monitoring of structures: a review

Blind identification of the Millikan Library from earthquake data considering soil–structure interaction

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures

A clustering approach for structural health monitoring on bridges

Machine learning algorithms for damage detection: Kernel-based approaches

Active vibration control of flexible cantilever plates using piezoelectric materials and artificial neural networks

Dynamic Testing of a Laboratory Stadium Structure

A frequency response‐based structural damage identification using model updating method

Extended Blind Modal Identification Technique for Nonstationary Excitations and Its Verification and Validation

Fault diagnosis on beam-like structures from modal parameters using artificial neural networks

Convolutional Neural Networks for patient-specific ECG classification

A review on prognostic techniques for non-stationary and non-linear rotating systems

Bridge Damage Severity Quantification Using Multipoint Acceleration Measurement and Artificial Neural Networks

Probabilistic machine learning and artificial intelligence

Dealing with uncertainty in model updating for damage assessment: A review

Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

Nonlinear damage detection using higher statistical moments of structural responses

Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms

A rapid structural damage detection method using integrated ANFIS and interval modeling technique

Structural damage identification based on self-fitting ARMAX model and multi-sensor data fusion

Damage Localization of Cable-Supported Bridges Using Modal Frequency Data and Probabilistic Neural Network

Frequency response function based damage identification using principal component analysis and pattern recognition technique

Prediction of shear strength of FRP-reinforced concrete flexural members without stirrups using artificial neural networks

Structural damage detection method using frequency response functions

Application of Bayesian-Designed Artificial Neural Networks in Phase II Structural Health Monitoring Benchmark Studies

Blind Modal Identification of Non-Classically Damped Systems from Free or Ambient Vibration Records

Prediction of Splitting Tensile Strength from Cylinder Compressive Strength of Concrete by Support Vector Machine

Blind modal identification of structures from spatially sparse seismic response signals

A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation

Damage localization using transmissibility functions: A critical review

Response‐only modal identification of structures using strong motion data

Substructure Vibration NARX Neural Network Approach for Statistical Damage Inference

Response‐only modal identification of structures using limited sensors

Structural identification of constructed systems : approaches, methods, and technologies for effective practice of St-Id

Prediction of unmeasured mode shape using artificial neural network for damage detection

Blind identification of soil–structure systems

The Three-Stage Artificial Neural Network Method for Damage Assessment of Building Structures

ImageNet classification with deep convolutional neural networks

Structural Health Monitoring: A Machine Learning Perspective

Damage detection under ambient vibration by harmony search algorithm

Autoregressive statistical pattern recognition algorithms for damage detection in civil structures

Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies

100

Structural damage assessment under varying temperature conditions

101

Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection

102

Pattern recognition of structural behaviors based on learning algorithms and symbolic data concepts

103

Damage Assessment with Ambient Vibration Data Using a Novel Time Series Analysis Methodology

104

Machine learning algorithms for damage detection under operational and environmental variability

105

Infrastructure Health in Civil Engineering (Two-Volume Set)

106

Improvement of damage detection methods based on experimental modal parameters

107

Structural Damage Detection Using Changes in Natural Frequencies: Theory and Applications

108

An hybrid real genetic algorithm to detect structural damage using modal properties

109

Eigen-Level Data Fusion Model by Integrating Rough Set and Probabilistic Neural Network for Structural Damage Detection

110

Structure damage diagnosis using neural network and feature fusion

111

Vibration-based Damage Identification Methods: A Review and Comparative Study

112

Dynamic-Based Damage Identification Using Neural Network Ensembles and Damage Index Method

113

Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods

114

Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition

115

Damage classification and estimation in experimental structures using time series analysis and pattern recognition

116

Intelligent-based Structural Damage Detection Model

117

Hypersensitivity of strain-based indicators for structural damage identification: A review

118

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

119

Structure Damage Detection Using Neural Network with Multi-Stage Substructuring

120

Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications

121

Dynamic reduction-based structural damage detection of transmission tower utilizing ambient vibration data

122

Rotating machinery prognostics. State of the art, challenges and opportunities

123

Damage detection based on damping analysis of ambient vibration data

124

The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm

125

Damage identification by wavelet analysis

126

Structural damage detection by fuzzy clustering

127

Damage detection of truss bridge joints using Artificial Neural Networks

128

Ambient Vibration Data Analysis for Structural Identification and Global Condition Assessment

129

A review on non-destructive evaluation of rails: State-of-the-art and future development

130

Vibration-based structural damage identification using wavelet transform

131

A pattern recognition technique for structural identification using observed vibration signals: Nonlinear case studies

132

Smart Structures: Innovative Systems for Seismic Response Control

133

Seismic damage identification in buildings using neural networks and modal data

134

ARMA modelled time-series classification for structural health monitoring of civil infrastructure

135

Bayesian Learning for Earthquake EngineeringApplications and Structural Health Monitoring

136

Structural Damage Detection in the Frequency Domain using Neural Networks

137

Development in vibration-based structural damage detection technique

138

Time Series Based Structural Damage Detection Algorithm Using Gaussian Mixtures

139

Damage Detection in Beams using Spatial Fourier Analysis and Neural Networks

140

An introduction to structural health monitoring

141

Structural health monitoring of civil infrastructure

142

Unsupervised fuzzy neural networks for damage detection of structures

143

The atypical pneumonias: clinical diagnosis and importance

144

Stochastic Output Error Vibration Based Damage Detection and Assessment in Structures Under Earthquake Excitation

145

A review on machinery diagnostics and prognostics implementing condition-based maintenance

146

PZT-based active damage detection techniques for steel bridge components

147

On the complexity of artificial neural networks for smart structures monitoring

148

Assessment of vibration-based damage identification techniques

149

Structural damage diagnosis under varying environmental conditions - Part II: local PCA for non-linear cases

150

Damage detection in bridges using neural networks for pattern recognition of vibration signatures

151

Detection of the enterotoxins A, B, and C genes in Staphylococcus aureus from goat and bovine mastit

152

Neural networks-based damage detection for bridges considering errors in baseline finite element models

153

Experimental Phase II of the Structural Health Monitoring Benchmark Problem

154

Recent Research in Nondestructive Evaluation of Civil Infrastructures

155

Damage detection in structures: From mode shape to frequency response function methods

156

BEHIND DEEP BLUE

157

Shake table testing of a base isolated model

158

Non-parametric damage detection and characterization using smart piezoceramic material

159

VIBRATION-BASED DAMAGE DETECTION USING STATISTICAL PROCESS CONTROL

160

Applications of thermography in non-destructive testing of structures

161

Vibration–based structural damage identification

162

Multiple Classifier Systems

163

An Introduction to Fuzzy Logic Applications

164

Damage detection in bridges using modal curvatures: application to a real damage scenario

165

Review of nondestructive evaluation techniques of civil infrastructure

166

Structural Health Monitoring

167

Damage localization in structures. A pattern recognition perspective

168

A summary review of vibration-based damage identification methods

169

Detection of structural damage through changes in frequency: a review

170

A Comparative Study of Self-organizing Clustering Algorithms Dignet and ART2

171

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

172

Structural damage detection using a minimum rank update theory

173

A Probabilistic Resource Allocating Network for Novelty Detection

174

Structural damage assessment using a generalized minimum rank perturbation theory

175

Introduction to Machine Learning

176

On recursive forms of damped complex exponential methods

177

Cyclophosphamide-induced Myopia

178

Modal Analysis for Damage Detection in Structures

179

Acoustics for Engineers

180

Defect types and non-destructive testing techniques for composites and bonded joints

181

Effects of Damage and Redundancy on Structural Reliability

182

Introduction to Machine Learning with Python

183

Structural Health Monitoring with Self-Organizing Maps and Artificial Neural Networks

184

Efficiency Validation of One Dimensional Convolutional Neural Networks for Structural Damage Detection Using A SHM Benchmark Data

185

Advances and Researches on Non Destructive Testing: A Review

186

An Introduction to Machine Learning

187

Long-time monitoring of the G. Meazza stadium in a pattern recognition prospective

188

Rolling Element Bearings Fault Intelligent Diagnosis Based on Convolutional Neural Networks Using Raw Sensing Signal

189

Structural Damage Detection in Real Time: Implementation of 1D Convolutional Neural Networks for SHM Applications

192

Quantification of Structural Damage with Self-Organizing Maps

193

Impedance-Based Structural Health Monitoring

194

Recent Issues on Stadium Monitoring and Serviceability: A Review

195

A Comparative Assessment of Nonlinear State Estimation Methods for Structural Health Monitoring

197

Modal parameters based structural damage detection using artificial neural networks - a review

198

A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization

199

Two-stage structural damage detection using fuzzy neural networks and data fusion techniques

200

Infrastructure Health in Civil Engineering

201

New trends in vibration based structural health monitoring

202

NEURO-WAVELET DAMAGE DETECTION TECHNIQUE IN BEAM, PLATE AND SHELL STRUCTURES WITH EXPERIMENTAL VALIDATION

203

This PDF file includes: Materials and Methods

204