Convolutional neural network–based data recovery method for structural health monitoring

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

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

Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy

(2018) Hyo Seon Park et al.   AUTOMATION IN CONSTRUCTION

Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors

(2018) Hiba Abdel-Jaber et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

Automated region-of-interest localization and classification for vision-based visual assessment of civil infrastructure

(2018) Chul Min Yeum et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

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

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

Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach

(2018) Zhicheng Chen 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

Error in the determination of the deformed shape of prismatic beams using the double integration of curvature

(2017) Dorotea H Sigurdardottir et al.   Smart Materials and Structures

Damage identification using modal strains identified from operational fiber-optic Bragg grating data

(2017) Dimitrios Anastasopoulos et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vibration-based damage detection using online learning algorithm for output-only structural health monitoring

(2017) Seung-Seop Jin et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

(2017) Deegan J Atha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Reconstruction to Sensor Measurements Based on a Correlation Model of Monitoring Data

(2017) Wei Lu et al.   Applied Sciences-Basel

Prediction of Maximum Story Drift of MDOF Structures under Simulated Wind Loads Using Artificial Neural Networks

(2017) Omar Payán-Serrano et al.   Applied Sciences-Basel

A Study on Data Loss Compensation of WiFi-Based Wireless Sensor Networks for Structural Health Monitoring

(2016) Yan Yu et al.   IEEE SENSORS JOURNAL

A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function

(2016) Ramin Ghiasi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Applications of structural health monitoring technology in Asia

(2016) Venu Gopal Madhav Annamdas et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vision-based system identification technique for building structures using a motion capture system

(2015) Byung Kwan Oh et al.   JOURNAL OF SOUND AND VIBRATION

Compressed sensing embedded in an operational wireless sensor network to achieve energy efficiency in long-term monitoring applications

(2014) S M O’Connor et al.   Smart Materials and Structures

Neutral axis as damage sensitive feature

(2013) D H Sigurdardottir et al.   Smart Materials and Structures

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

Development of method for in-service crack detection based on distributed fiber optic sensors

(2011) Branko Glisic et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A wireless vibrating wire sensor node for continuous structural health monitoring

(2010) H M Lee et al.   Smart Materials and Structures