Machine‐learning‐based methods for output‐only structural modal identification

Detecting structural damage under unknown seismic excitation by deep convolutional neural network with wavelet-based transmissibility data

(2020) Ying Lei et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Automatic seismic damage identification of reinforced concrete columns from images by a region-based deep convolutional neural network

(2019) Yang Xu 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

Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach

(2019) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep long short-term memory networks for nonlinear structural seismic response prediction

(2019) Ruiyang Zhang et al.   COMPUTERS & STRUCTURES

Lost data recovery for structural health monitoring based on convolutional neural networks

(2019) Gao Fan et al.   Structural Control & Health Monitoring

Improved automated operational modal identification of structures based on clustering

(2019) Gao Fan et al.   Structural Control & Health Monitoring

Output-only modal estimation using sparse component analysis and density-based clustering algorithm

(2018) Haotian Zhou et al.   MEASUREMENT

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

Solving high-dimensional partial differential equations using deep learning

(2018) Jiequn Han et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

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

Enhanced sparse component analysis for operational modal identification of real-life bridge structures

(2018) Yan Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Solving the quantum many-body problem with artificial neural networks

(2017) Giuseppe Carleo et al.   SCIENCE

Underdetermined blind modal identification of structures by earthquake and ambient vibration measurements via sparse component analysis

(2016) Fereidoun Amini et al.   JOURNAL OF SOUND AND VIBRATION

Vision-Based Automated Crack Detection for Bridge Inspection

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

Blind modal identification of output-only structures in time-domain based on complexity pursuit

(2013) Yongchao Yang et al.   EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS

Output-only modal identification with limited sensors using sparse component analysis

(2013) Yongchao Yang et al.   JOURNAL OF SOUND AND VIBRATION

Estimation of modal parameters using the sparse component analysis based underdetermined blind source separation

(2013) Kaiping Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A study and extension of second-order blind source separation to operational modal analysis

(2012) J. Antoni et al.   JOURNAL OF SOUND AND VIBRATION

Time-Frequency Blind Source Separation Using Independent Component Analysis for Output-Only Modal Identification of Highly Damped Structures

(2012) Yongchao Yang et al.   JOURNAL OF STRUCTURAL ENGINEERING

PRACTICAL GUIDELINES FOR THE NATURAL EXCITATION TECHNIQUE (NExT) AND THE EIGENSYSTEM REALIZATION ALGORITHM (ERA) FOR MODAL IDENTIFICATION USING AMBIENT VIBRATION

(2010) J.M. Caicedo   EXPERIMENTAL TECHNIQUES

Underdetermined Blind Source Separation Based on Subspace Representation

(2009) SangGyun Kim et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Modified Cross-Correlation Method for the Blind Identification of Structures

(2009) B. Hazra et al.   JOURNAL OF ENGINEERING MECHANICS

A framework for blind modal identification using joint approximate diagonalization

(2008) S.I. McNeill et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING