Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks

Unsupervised deep learning approach using a deep auto-encoder with an one-class support vector machine to detect structural damage

(2020) Zilong Wang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vibration‐based structural state identification by a 1‐dimensional convolutional neural network

(2019) Youqi Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A graph deep learning method for short‐term traffic forecasting on large road networks

(2019) Yang Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

(2019) Yanlin Qi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

A novel deep learning-based method for damage identification of smart building structures

(2018) Yang Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

(2018) Lei Lin et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Development of sensor validation methodologies for structural health monitoring: A comprehensive review

(2017) Ting-Hua Yi et al.   MEASUREMENT

Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm

(2017) Young-Jin Cha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Novelty detection for SHM using raw acceleration measurements

(2015) Vinicius Alves et al.   Structural Control & Health Monitoring

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

Support vector regression for anomaly detection from measurement histories

(2013) Rolands Kromanis et al.   ADVANCED ENGINEERING INFORMATICS

Vision-based monitoring system for evaluating cable tensile forces on a cable-stayed bridge

(2013) Sung-Wan Kim et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A Review of Some Modern Approaches to the Problem of Trend Extraction

(2012) Theodore Alexandrov et al.   Econometric Reviews

Nonparametric analysis of structural health monitoring data for identification and localization of changes: Concept, lab, and real-life studies

(2012) F Necati Catbas et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring

(2011) Jyrki Kullaa   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Methodologies for model-free data interpretation of civil engineering structures

(2010) Daniele Posenato et al.   COMPUTERS & STRUCTURES

Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering

(2010) Mustafa Gul et al.   JOURNAL OF SOUND AND VIBRATION

Temperature effects on cable stayed bridge using health monitoring system: a case study

(2010) Yinghong Cao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Machine learning algorithms for damage detection under operational and environmental variability

(2010) Eloi Figueiredo et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Statistical pattern recognition for Structural Health Monitoring using time series modeling: Theory and experimental verifications

(2009) Mustafa Gul et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING