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

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

Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer-grade camera images

(2017) Yang Xu et al.   Structural Control & Health Monitoring

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation

(2016) Yongchao Yang et al.   JOURNAL OF STRUCTURAL ENGINEERING

Full scale strain monitoring of a suspension bridge using high performance distributed fiber optic sensors

(2016) Jinlong Xu et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Deep neural reasoning

(2016) Herbert Jaeger   NATURE

Robust data transmission and recovery of images by compressed sensing for structural health diagnosis

(2016) Yongchao Yang et al.   Structural Control & Health Monitoring

Target-free approach for vision-based structural system identification using consumer-grade cameras

(2016) Hyungchul Yoon et al.   Structural Control & Health Monitoring

Modeling and harnessing sparse and low-rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring

(2016) Satish Nagarajaiah et al.   Structural Control & Health Monitoring

Dynamic Imaging: Real-Time Detection of Local Structural Damage with Blind Separation of Low-Rank Background and Sparse Innovation

(2016) Yongchao Yang et al.   JOURNAL OF STRUCTURAL ENGINEERING

Vision-Based Automated Crack Detection for Bridge Inspection

(2015) Chul Min Yeum et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology

(2015) Zhicheng Chen et al.   Structural Control & Health Monitoring

Ultrasonic health monitoring in structural engineering: buildings and bridges

(2015) Nadom Khalifa Mutlib et al.   Structural Control & Health Monitoring

A Robotic Crack Inspection and Mapping System for Bridge Deck Maintenance

(2014) Ronny Salim Lim et al.   IEEE Transactions on Automation Science and Engineering

Localization of acoustic emission sources in structural health monitoring of masonry bridge

(2014) Qinghua Han et al.   Structural Control & Health Monitoring

Structural damage identification via a combination of blind feature extraction and sparse representation classification

(2013) Yongchao Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Training restricted Boltzmann machines: An introduction

(2013) Asja Fischer et al.   PATTERN RECOGNITION

Automatic Road Crack Detection and Characterization

(2012) Henrique Oliveira et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An innovative methodology for detection and quantification of cracks through incorporation of depth perception

(2011) Mohammad R. Jahanshahi et al.   MACHINE VISION AND APPLICATIONS

Fatigue Evaluation of Rib-to-Deck Welded Joints of Orthotropic Steel Bridge Deck

(2010) Samol Ya et al.   Journal of Bridge Engineering

Long-term condition assessment of suspenders under traffic loads based on structural monitoring system: Application to the Tsing Ma Bridge

(2010) Shunlong Li et al.   Structural Control & Health Monitoring

Bridge inspection robot system with machine vision

(2009) Je-Keun Oh et al.   AUTOMATION IN CONSTRUCTION

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