A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

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

(2020) Sateh Alabbasi et al.   ENGINEERING STRUCTURES

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

(2019) Sergio Cofre-Martel et al.   SHOCK AND VIBRATION

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

(2019) Khairul H. Padil et al.   JOURNAL OF SOUND AND VIBRATION

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

Structural damage identification based on autoencoder neural networks and deep learning

(2018) Chathurdara Sri Nadith Pathirage et al.   ENGINEERING STRUCTURES

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

(2018) Hong Pan et al.   Journal of Bridge Engineering

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

(2018) Onur Avci et al.   JOURNAL OF SOUND AND VIBRATION

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

(2018) F. Seguel et al.   JOURNAL OF SOUND AND VIBRATION

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) M. Krishnan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) K.J. Vamvoudakis-Stefanou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) Ahmed Saeed Mohamed et al.   SHOCK AND VIBRATION

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

(2018) Milad Fallahian et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration‐based structural condition assessment using convolution neural networks

(2018) Hamid Khodabandehlou et al.   Structural Control & Health Monitoring

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

(2018) Yang Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2018) Wang-Ji Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

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

(2017) Guoqing Gui et al.   KSCE Journal of Civil Engineering

Bearing Fault Detection by One-Dimensional Convolutional Neural Networks

(2017) Levent Eren   MATHEMATICAL PROBLEMS IN ENGINEERING

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

(2017) Mohammad Hossein Rafiei et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias

(2017) Serkan Kiranyaz et al.   Scientific Reports

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

(2016) Moisés Silva et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2016) Kai-Chun Chang et al.   ENGINEERING STRUCTURES

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

(2016) Serkan Kiranyaz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

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

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2016) V. Meruane   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

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

(2016) Behzad Abounia Omran et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

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

(2016) F. Abazarsa et al.   JOURNAL OF ENGINEERING MECHANICS

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

(2016) Onur Avci et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Machine learning algorithms for damage detection: Kernel-based approaches

(2016) Adam Santos et al.   JOURNAL OF SOUND AND VIBRATION

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

(2016) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Structural health monitoring using time reversal and cracked rod spectral element

(2016) R.L. Lucena et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2016) S. F. Ghahari et al.   Structural Control & Health Monitoring

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

(2016) Zhu Mao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2016) Ramin Ghiasi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2016) F. Abazarsa et al.   JOURNAL OF ENGINEERING MECHANICS

Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization

(2015) Young-Jin Cha et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

(2015) S.J.S. Hakim et al.   MEASUREMENT

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

(2015) Ellen Simoen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2015) Man Shan Kan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

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

(2015) Fariba Shadan et al.   Structural Control & Health Monitoring

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

(2015) S. F. Ghahari et al.   Structural Control & Health Monitoring

Nonlinear damage detection using higher statistical moments of structural responses

(2015) Ling Yu et al.   STRUCTURAL ENGINEERING AND MECHANICS

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

(2014) Futao Zhu et al.   APPLIED SOFT COMPUTING

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

(2014) Juan Pablo Amezquita-Sanchez et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

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

(2014) Rupika P. Bandara et al.   ENGINEERING STRUCTURES

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

(2014) S. Lee et al.   ENGINEERING STRUCTURES

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

(2014) X. T. Zhou et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

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

(2014) Michele Betti et al.   MECCANICA

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

(2014) S.J.S. Hakim et al.   Smart Structures and Systems

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

(2014) Ali M Ay et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Structural damage detection method using frequency response functions

(2014) Rupika P Bandara et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2013) Fariba Abazarsa et al.   EARTHQUAKE SPECTRA

Damage localization using transmissibility functions: A critical review

(2013) Simon Chesné et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2013) Kezhen Yan et al.   Advances in Materials Science and Engineering

Response-only modal identification of structures using strong motion data

(2012) S. F. Ghahari et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

Damage detection under ambient vibration by harmony search algorithm

(2012) Leandro Fleck Fadel Miguel et al.   EXPERT SYSTEMS WITH APPLICATIONS

Autoregressive statistical pattern recognition algorithms for damage detection in civil structures

(2012) Ruigen Yao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2012) F.P. Kopsaftopoulos et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Blind identification of soil–structure systems

(2012) S.F. Ghahari et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Response-only modal identification of structures using limited sensors

(2012) F. Abazarsa et al.   Structural Control & Health Monitoring

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

(2012) F Necati Catbas et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2011) Shao-Fei Jiang et al.   ADVANCES IN STRUCTURAL ENGINEERING

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

(2011) S.M. Seyedpoor   INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS

Substructure Vibration NARX Neural Network Approach for Statistical Damage Inference

(2011) Linjun Yan et al.   JOURNAL OF ENGINEERING MECHANICS

Improvement of damage detection methods based on experimental modal parameters

(2011) Maciej Radzieński et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2011) F. Magalhães et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent-based Structural Damage Detection Model

(2011) Eric Wai Ming Lee et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Structural damage assessment under varying temperature conditions

(2011) V Meruane et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Structure Damage Detection Using Neural Network with Multi-Stage Substructuring

(2010) Norhisham Bakhary et al.   ADVANCES IN STRUCTURAL ENGINEERING

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

(2010) Ulrike Dackermann et al.   ADVANCES IN STRUCTURAL ENGINEERING

Structure damage diagnosis using neural network and feature fusion

(2010) Yi-Yan Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2010) Shao-Fei Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2010) Mustafa Gul et al.   JOURNAL OF STRUCTURAL ENGINEERING

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

(2010) Oliver R. de Lautour et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2010) F.P. Kopsaftopoulos et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2010) V. Meruane et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

(2010) Dan Claudiu Cireşan et al.   NEURAL COMPUTATION

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

(2010) Alexandre Cury et al.   Structural Control & Health Monitoring

Machine learning algorithms for damage detection under operational and environmental variability

(2010) Eloi Figueiredo et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2009) T. Yin et al.   ENGINEERING STRUCTURES

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

(2009) Mustafa Gul et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2009) Y.Y. Li   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2008) Heung Fai Lam et al.   ENGINEERING STRUCTURES

Ambient Vibration Data Analysis for Structural Identification and Global Condition Assessment

(2008) Mustafa Gul et al.   JOURNAL OF ENGINEERING MECHANICS

Bearing Signature Analysis as a Medium for Fault Detection: A Review

(2008) M. S. Patil et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

Damage identification by wavelet analysis

(2008) J. Grabowska et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Structural damage detection by fuzzy clustering

(2008) Samuel da Silva et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2008) Aiwina Heng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Damage detection based on damping analysis of ambient vibration data

(2008) Michele Frizzarin et al.   Structural Control & Health Monitoring

Seismic damage identification in buildings using neural networks and modal data

(2007) María P. González et al.   COMPUTERS & STRUCTURES

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

(2007) Jian Zhang et al.   ENGINEERING STRUCTURES

Damage detection of truss bridge joints using Artificial Neural Networks

(2007) M. Mehrjoo et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2007) E. Peter Carden et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration-based structural health monitoring using output-only measurements under changing environment

(2007) A. Deraemaeker et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration-based structural damage identification using wavelet transform

(2007) W.L. Bayissa et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING