4.7 Article

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

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

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

FuTao Ni et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2020)

Article Engineering, Mechanical

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

C. Surace et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Article Engineering, Multidisciplinary

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

Yang Xu et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Engineering, Multidisciplinary

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

Gabriel San Martin et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)

Article Computer Science, Interdisciplinary Applications

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

Youqi Zhang et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)

Article Computer Science, Interdisciplinary Applications

Machine learning based novelty detection using modal analysis

Ali I. Ozdagli et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)

Article Construction & Building Technology

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

Zhiyi Tang et al.

STRUCTURAL CONTROL & HEALTH MONITORING (2019)

Article Engineering, Civil

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

Mohammad Hossein Rafiei et al.

ENGINEERING STRUCTURES (2018)

Article Engineering, Civil

Structural damage identification based on autoencoder neural networks and deep learning

Chathurdara Sri Nadith Pathirage et al.

ENGINEERING STRUCTURES (2018)

Article Engineering, Civil

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

Hong Pan et al.

KSCE JOURNAL OF CIVIL ENGINEERING (2018)

Article Construction & Building Technology

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

Hong-wei Huang et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Proceedings Paper Computer Science, Artificial Intelligence

A Convolutional Autoencoder Approach for Feature Extraction in Virtual Metrology

Marco Maggipinto et al.

28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY (2018)

Article Computer Science, Interdisciplinary Applications

Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)

Review Computer Science, Artificial Intelligence

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

Waseem Rawat et al.

NEURAL COMPUTATION (2017)

Review Instruments & Instrumentation

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

M. S. Cao et al.

SMART MATERIALS AND STRUCTURES (2017)

Proceedings Paper Engineering, Civil

Statistical methods for damage detection applied to civil structures

Szymon Gres et al.

X INTERNATIONAL CONFERENCE ON STRUCTURAL DYNAMICS (EURODYN 2017) (2017)

Article Computer Science, Interdisciplinary Applications

Structural Damage Detection with Automatic Feature-Extraction through Deep Learning

Yi-zhou Lin et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Article Computer Science, Interdisciplinary Applications

Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Young-Jin Cha et al.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Review Computer Science, Artificial Intelligence

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

Martin Langkvist et al.

PATTERN RECOGNITION LETTERS (2014)

Article Computer Science, Information Systems

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

Junqi Guo et al.

PERSONAL AND UBIQUITOUS COMPUTING (2014)

Article Engineering, Multidisciplinary

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

Chen ZhiWei et al.

SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2014)

Article Engineering, Civil

Multivariate statistical analysis for early damage detection

Joao Pedro Santos et al.

ENGINEERING STRUCTURES (2013)

Review Computer Science, Hardware & Architecture

A Few Useful Things to Know About Machine Learning

Pedro Domingos

COMMUNICATIONS OF THE ACM (2012)

Review Engineering, Civil

Temperature effect on vibration properties of civil structures: a literature review and case studies

Yong k Xia et al.

JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING (2012)

Article Engineering, Geological

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

George A. Papagiannopoulos et al.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2011)

Review Engineering, Multidisciplinary

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

Wei Fan et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2011)

Article Materials Science, Multidisciplinary

A vibration-based structural damage detection method and its applications to engineering structures

K. He et al.

INTERNATIONAL JOURNAL OF SMART AND NANO MATERIALS (2011)

Article Acoustics

Structural damage detection using cross correlation functions of vibration response

Le Wang et al.

JOURNAL OF SOUND AND VIBRATION (2010)

Article Engineering, Mechanical

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

A. Deraemaeker et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2008)

Article Multidisciplinary Sciences

The application of machine learning to structural health monitoring

Keith Worden et al.

PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2007)