相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Computer vision and deep learning-based data anomaly detection method for structural health monitoring
Yuequan Bao et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Bayesian multi-task learning methodology for reconstruction of structural health monitoring data
Hua-Ping Wan et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach
Zhicheng Chen et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Development and application of a deep learning-based sparse autoencoder framework for structural damage identification
Chathurdara Sri Nadith Pathirage et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2019)
Data management for structural integrity assessment of offshore wind turbine support structures: data cleansing and missing data imputation
Maria Martinez-Luengo et al.
OCEAN ENGINEERING (2019)
LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data
Zhicheng Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Reconstructing seismic response demands across multiple tall buildings using kernel-based machine learning methods
Han Sun et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2019)
Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method
Linchao Li et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring
Zhiyi Tang et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2019)
Short-to-medium Term Passenger Flow Forecasting for Metro Stations using a Hybrid Model
Linchao Li et al.
KSCE JOURNAL OF CIVIL ENGINEERING (2018)
A novel distribution regression approach for data loss compensation in structural health monitoring
Zhicheng Chen et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2018)
Time-frequency analysis and applications in time-varying/nonlinear structural systems: A state-of-the-art review
Zuo-Cai Wang et al.
ADVANCES IN STRUCTURAL ENGINEERING (2018)
A Rapidly Convergent Empirical Mode Decomposition Method for Analyzing the Environmental Temperature Effects on Stay Cable Force
Wen-Hwa Wu et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2018)
Empirical Validation of Bayesian Dynamic Linear Models in the Context of Structural Health Monitoring
James-A. Goulet et al.
JOURNAL OF BRIDGE ENGINEERING (2018)
Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data
Hua-Ping Wan et al.
JOURNAL OF STRUCTURAL ENGINEERING (2018)
Bridge Structure Deformation Prediction Based on GNSS Data Using Kalman-ARIMA-GARCH Model
Jingzhou Xin et al.
SENSORS (2018)
Bayesian Modeling Approach for Forecast of Structural Stress Response Using Structural Health Monitoring Data
Hua-Ping Wan et al.
JOURNAL OF STRUCTURAL ENGINEERING (2018)
Damage Identification and Optimal Sensor Placement for Structures under Unknown Traffic-Induced Vibrations
Jun Li et al.
JOURNAL OF AEROSPACE ENGINEERING (2017)
Restoring method for missing data of spatial structural stress monitoring based on correlation
Zeyu Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure
Yongchao Yang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals
Jaouher Ben Ali et al.
APPLIED ACOUSTICS (2015)
Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring
Yuequan Bao et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2015)
Compressive sampling-based data loss recovery for wireless sensor networks used in civil structural health monitoring
Yuequan Bao et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2013)
Structural response reconstruction based on empirical mode decomposition in time domain
Jingjing He et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)
EMD-based random decrement technique for modal parameter identification of an existing railway bridge
X. H. He et al.
ENGINEERING STRUCTURES (2011)
Damage identification in beams using empirical mode decomposition
Davood Rezaei et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2011)
Issues in structural health monitoring employing smart sensors
T. Nagayama et al.
SMART STRUCTURES AND SYSTEMS (2007)
Structural health monitoring using empirical mode decomposition and the Hilbert phase
Darryll Pines et al.
JOURNAL OF SOUND AND VIBRATION (2006)