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

Energy-based damage localization under ambient vibration and non-stationary signals by ensemble empirical mode decomposition and Mahalanobis-squared distance

(2019) Hassan Sarmadi et al.   JOURNAL OF VIBRATION AND CONTROL

A novel anomaly detection method based on adaptive Mahalanobis-squared distance and one-class kNN rule for structural health monitoring under environmental effects

(2019) Hassan Sarmadi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging

(2018) Dongho Kang 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

Structural damage identification based on autoencoder neural networks and deep learning

(2018) Chathurdara Sri Nadith Pathirage et al.   ENGINEERING STRUCTURES

A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

(2018) Levent Eren et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

On the use of AR models for SHM: A global sensitivity and uncertainty analysis framework

(2018) Alessio Datteo et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep principal component analysis: An enhanced approach for structural damage identification

(2018) Moisés Silva et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods

(2018) Alireza Entezami et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

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

Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure

(2016) Yun-Lai Zhou et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Automated finite element model updating of a scale bridge model using measured static and modal test data

(2015) Masoud Sanayei et al.   ENGINEERING STRUCTURES

Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures

(2014) Juan Pablo Amezquita-Sanchez et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Multifrequency Excitation Method for Rapid and Accurate Dynamic Test of Micromachined Gyroscope Chips

(2014) Yan Deng et al.   SENSORS

Robust dimensionality reduction and damage detection approaches in structural health monitoring

(2014) Nguyen LD Khoa et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Structural Damage Detection in a Truss Bridge Model Using Fuzzy Clustering and Measured FRF Data Reduced by Principal Component Projection

(2013) Ling Yu et al.   ADVANCES IN STRUCTURAL ENGINEERING

On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data

(2013) Marijke Welvaert et al.   PLoS One

Fully automated (operational) modal analysis

(2012) Edwin Reynders et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machine learning algorithms for damage detection under operational and environmental variability

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