A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems

Data management for structural integrity assessment of offshore wind turbine support structures: data cleansing and missing data imputation

(2019) Maria Martinez-Luengo et al.   OCEAN ENGINEERING

Reconstructing seismic response demands across multiple tall buildings using kernel‐based machine learning methods

(2019) Han Sun et al.   Structural Control & Health Monitoring

Time–frequency analysis and applications in time-varying/nonlinear structural systems: A state-of-the-art review

(2018) Zuo-Cai Wang et al.   ADVANCES IN STRUCTURAL ENGINEERING

A Rapidly Convergent Empirical Mode Decomposition Method for Analyzing the Environmental Temperature Effects on Stay Cable Force

(2018) Wen-Hwa Wu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Empirical Validation of Bayesian Dynamic Linear Models in the Context of Structural Health Monitoring

(2018) James-A. Goulet et al.   Journal of Bridge Engineering

Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data

(2018) Hua-Ping Wan et al.   JOURNAL OF STRUCTURAL ENGINEERING

Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model

(2018) Jingzhou Xin et al.   SENSORS

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

Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data

(2018) Hua-Ping Wan et al.   JOURNAL OF STRUCTURAL 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

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

Development and application of a deep learning–based sparse autoencoder framework for structural damage identification

(2018) Chathurdara Sri Nadith Pathirage et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

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

LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data

(2018) Zhicheng Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method

(2018) Linchao Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Short-to-medium Term Passenger Flow Forecasting for Metro Stations using a Hybrid Model

(2017) Linchao Li et al.   KSCE Journal of Civil Engineering

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 distribution regression approach for data loss compensation in structural health monitoring

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

Wind pressure data reconstruction using neural network techniques: A comparison between BPNN and GRNN

(2016) Y.Q. Ni et al.   MEASUREMENT

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

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

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

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

Structural response reconstruction based on empirical mode decomposition in time domain

(2012) Jingjing He et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

EMD-based random decrement technique for modal parameter identification of an existing railway bridge

(2011) X.H. He et al.   ENGINEERING STRUCTURES

Damage identification in beams using empirical mode decomposition

(2010) Davood Rezaei et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL