A systematic review of convolutional neural network-based structural condition assessment techniques

Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones

(2020) Qipei Mei et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Application of wavelet transform in structural health monitoring

(2020) Yashodhya Kankanamge et al.   Earthquake Engineering and Engineering Vibration

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

(2020) Limin Sun et al.   JOURNAL OF STRUCTURAL ENGINEERING

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2020) Mohamed Barbosh et al.   Smart Materials and Structures

Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network

(2019) Shengyuan Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A literature review of next-generation smart sensing technology in structural health monitoring

(2019) Sandeep Sony et al.   Structural Control & Health Monitoring

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

The State of the Art of Data Science and Engineering in Structural Health Monitoring

(2019) Yuequan Bao et al.   Engineering

Deep learning-based automated underground cavity detection using three-dimensional ground penetrating radar

(2019) Man-Sung Kang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Autonomous bolt loosening detection using deep learning

(2019) Yang Zhang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vibration‐based structural state identification by a 1‐dimensional convolutional neural network

(2019) Youqi Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Improved visualization of infrastructure monitoring data using building information modeling

(2019) Chanakya Boddupalli et al.   Structure and Infrastructure Engineering

Deep Learning for Critical Infrastructure Resilience

(2019) Kevin Dick et al.   Journal of Infrastructure Systems

Wind turbine blade surface inspection based on deep learning and UAV-taken images

(2019) Donghua Xu et al.   Journal of Renewable and Sustainable Energy

Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

(2019) Chuncheng Feng et al.   KSCE Journal of Civil Engineering

Multi-class structural damage segmentation using fully convolutional networks

(2019) Juan Jose Rubio et al.   COMPUTERS IN INDUSTRY

Toward Compressed Sensing of Structural Monitoring Data Using Discrete Cosine Transform

(2019) Nawaf Almasri et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Probabilistic active learning: An online framework for structural health monitoring

(2019) L.A. Bull et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The use of intelligent computational tools for damage detection and identification with an emphasis on composites – A review

(2018) Guilherme Ferreira Gomes et al.   COMPOSITE STRUCTURES

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

(2018) Hiroya Maeda et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A Fast Detection Method via Region-Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects

(2018) Yadong Xue et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review

(2018) Dongming Feng et al.   ENGINEERING STRUCTURES

Visual data classification in post-event building reconnaissance

(2018) Chul Min Yeum et al.   ENGINEERING STRUCTURES

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

(2018) Fu-Chen Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

(2018) Kaige Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

(2018) Hong Pan et al.   KSCE Journal of Civil Engineering

A review of Convolutional-Neural-Network-based action recognition

(2018) Guangle Yao et al.   PATTERN RECOGNITION LETTERS

Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle

(2018) In-Ho Kim et al.   SENSORS

Structural health monitoring: Closing the gap between research and industrial deployment

(2018) Peter Cawley   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

(2018) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

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

A Survey on Deep Learning

(2018) Samira Pouyanfar et al.   ACM COMPUTING SURVEYS

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

(2018) Jack C.P. Cheng et al.   AUTOMATION IN CONSTRUCTION

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Active learning for semi-supervised structural health monitoring

(2018) L. Bull et al.   JOURNAL OF SOUND AND VIBRATION

Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization

(2018) Xiao Liang   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique

(2018) Byunghyun Kim et al.   SENSORS

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Review of Robotic Infrastructure Inspection Systems

(2017) David Lattanzi et al.   Journal of Infrastructure Systems

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

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

A review of output-only structural mode identification literature employing blind source separation methods

(2017) A. Sadhu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Recognition of asphalt pavement crack length using deep convolutional neural networks

(2017) Zheng Tong et al.   Road Materials and Pavement Design

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

(2017) Deegan J Atha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Ensemble classification method for structural damage assessment under varying temperature

(2017) Milad Fallahian et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Image Based Techniques for Crack Detection, Classification and Quantification in Asphalt Pavement: A Review

(2016) H. Zakeri et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

A comparative study of signal processing methods for structural health monitoring

(2016) Hojjat Adeli et al.   Journal of Vibroengineering

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Deep learning

(2015) Yann LeCun et al.   NATURE

Structural health monitoring by using a sparse coding-based deep learning algorithm with wireless sensor networks

(2014) Junqi Guo et al.   Personal and Ubiquitous Computing

Crack detection and characterization techniques-An overview

(2014) Yao Yao et al.   Structural Control & Health Monitoring

Toward Data-Driven Structural Health Monitoring: Application of Machine Learning and Signal Processing to Damage Detection

(2012) Yujie Ying et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

(2008) Mohammad R. Jahanshahi et al.   Structure and Infrastructure Engineering