Vibration-based damage detection for bridges by deep convolutional denoising autoencoder

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

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

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

Effects of environmental and operational actions on the modal frequency variations of a sea-crossing bridge: A periodicity perspective

(2019) Yi Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machine learning based novelty detection using modal analysis

(2019) Ali I. Ozdagli et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep learning for data anomaly detection and data compression of a long‐span suspension bridge

(2019) FuTao Ni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

The use of frequency ratios to diagnose structural damage in varying environmental conditions

(2019) C. Surace et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Structural damage identification based on autoencoder neural networks and deep learning

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

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

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

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

Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis

(2018) Gabriel San Martin et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep learning based image recognition for crack and leakage defects of metro shield tunnel

(2018) Hong-wei Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring

(2018) Zhiyi Tang et al.   Structural Control & Health Monitoring

Bridge Real-Time Damage Identification Method Using Inclination and Strain Measurements in the Presence of Temperature Variation

(2018) L. M. Sun et al.   Journal of Bridge Engineering

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

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

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

Structural damage identification using damping: a compendium of uses and features

(2017) M S Cao et al.   Smart Materials and Structures

Deep learning

(2015) Yann LeCun et al.   NATURE

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

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

Damage detection of long-span bridges using stress influence lines incorporated control charts

(2014) ZhiWei Chen et al.   Science China-Technological Sciences

Multivariate statistical analysis for early damage detection

(2013) João Pedro Santos et al.   ENGINEERING STRUCTURES

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

On the use of the half-power bandwidth method to estimate damping in building structures

(2011) George A. Papagiannopoulos et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Structural damage detection using cross correlation functions of vibration response

(2010) Le Wang et al.   JOURNAL OF SOUND AND VIBRATION

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

(2010) Wei Fan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

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