A system reliability approach to real-time unsupervised structural health monitoring without prior information

A reliability-based approach to determine the minimum detectable damage for statistical damage detection

(2021) Alexander Mendler et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme

(2021) Wang-Ji Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Output-only damage diagnosis for plan-symmetric buildings with asymmetric damage using modal flexibility-based deflections

(2020) Giacomo Bernagozzi et al.   ENGINEERING STRUCTURES

Structural damage identification based on unsupervised feature-extraction via Variational Auto-encoder

(2020) Xirui Ma et al.   MEASUREMENT

Towards semi-supervised and probabilistic classification in structural health monitoring

(2020) L.A. Bull et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets

(2020) Addisson Salazar et al.   EXPERT SYSTEMS WITH APPLICATIONS

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Oversampling adversarial network for class-imbalanced fault diagnosis

(2020) Masoumeh Zareapoor et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Removal of masking effect for damage detection of structures

(2019) William Soo Lon Wah et al.   ENGINEERING STRUCTURES

Probabilistic active learning: An online framework for structural health monitoring

(2019) L.A. Bull et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Response surface methodology for damage detection using frequency and mode shape

(2018) Sarehati Umar et al.   MEASUREMENT

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

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

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

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

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

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

Automated structural health monitoring based on adaptive kernel spectral clustering

(2017) Rocco Langone et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An unsupervised learning approach by novel damage indices in structural health monitoring for damage localization and quantification

(2017) Alireza Entezami et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Baseline-free real-time assessment of structural changes

(2014) João P. Santos et al.   Structure and Infrastructure Engineering

Structural Damage Detection of Cable-Stayed Bridges Using Changes in Cable Forces and Model Updating

(2009) X. G. Hua et al.   JOURNAL OF STRUCTURAL ENGINEERING