Lost data neural semantic recovery framework for structural health monitoring based on deep learning

A compressive sensing method for processing and improving vision‐based target‐tracking signals for structural health monitoring

(2021) Luna Ngeljaratan et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders

(2021) Kejie Jiang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A knowledge‐enhanced deep reinforcement learning‐based shape optimizer for aerodynamic mitigation of wind‐sensitive structures

(2021) Shaopeng Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Structural dynamic response reconstruction and virtual sensing using a sequence to sequence modeling with attention mechanism

(2021) Kejie Jiang et al.   AUTOMATION IN CONSTRUCTION

Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment

(2020) Nur Sila Gulgec et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

Dynamic response reconstruction for structural health monitoring using densely connected convolutional networks

(2020) Gao Fan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring

(2020) Zhiyi Tang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

FEMa: a finite element machine for fast learning

(2019) Danilo R. Pereira et al.   NEURAL COMPUTING & APPLICATIONS

A dynamic ensemble learning algorithm for neural networks

(2019) Kazi Md. Rokibul Alam et al.   NEURAL COMPUTING & APPLICATIONS

Recent progress and future trends on damage identification methods for bridge structures

(2019) Yonghui An et al.   Structural Control & Health Monitoring

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

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

Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring

(2019) Seongwoon Jeong et al.   ADVANCED ENGINEERING INFORMATICS

Vibration‐based semantic damage segmentation for large‐scale structural health monitoring

(2019) Seyed Omid Sajedi 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

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

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Enhanced probabilistic neural network with local decision circles: A robust classifier

(2018) Mehran Ahmadlou et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Bayesian multi-task learning methodology for reconstruction of structural health monitoring data

(2018) Hua-Ping Wan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings

(2018) Carlos A. Perez-Ramirez et al.   ENGINEERING STRUCTURES

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

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

Restoring method for missing data of spatial structural stress monitoring based on correlation

(2017) Zeyu Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel machine learning-based algorithm to detect damage in high-rise building structures

(2017) Mohammad Hossein Rafiei et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

A novel distribution regression approach for data loss compensation in structural health monitoring

(2017) Zhicheng Chen et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A New Neural Dynamic Classification Algorithm

(2017) Mohammad Hossein Rafiei et al.   IEEE Transactions on Neural Networks and Learning Systems

Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure

(2016) Yongchao Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bayesian compressive sensing for approximately sparse signals and application to structural health monitoring signals for data loss recovery

(2016) Yong Huang et al.   PROBABILISTIC ENGINEERING MECHANICS

Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring

(2014) Yuequan Bao et al.   Structural Control & Health Monitoring

Robust Bayesian Compressive Sensing for Signals in Structural Health Monitoring

(2013) Yong Huang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring

(2012) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Design and Deployment of a Continuous Monitoring System for the Dowling Hall Footbridge

(2011) P. Moser et al.   EXPERIMENTAL TECHNIQUES

Environmental effects on the identified natural frequencies of the Dowling Hall Footbridge

(2011) Peter Moser et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING