Autoencoders for unsupervised real‐time bridge health assessment

Large‐scale structural health monitoring using composite recurrent neural networks and grid environments

(2022) Kareem A. Eltouny et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Vibration-Based Damage Identification in Steel Girder Bridges Using Artificial Neural Network Under Noisy Conditions

(2021) Hooman Nick et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

Damage‐sensitive feature extraction with stacked autoencoders for unsupervised damage detection

(2021) Moisés Felipe Silva et al.   Structural Control & Health Monitoring

A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders

(2021) Kejie Jiang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder

(2021) Zahra Rastin et al.   SHOCK AND VIBRATION

Deep generative Bayesian optimization for sensor placement in structural health monitoring

(2021) Seyedomid Sajedi et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

The use of receiver operating characteristic curves and precision-versus-recall curves as performance metrics in unsupervised structural damage classification under changing environment

(2021) Valentina Giglioni et al.   ENGINEERING STRUCTURES

Deep autoencoder architecture for bridge damage assessment using responses from several vehicles

(2021) Muhammad Zohaib Sarwar et al.   ENGINEERING STRUCTURES

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

(2020) Limin Sun et al.   JOURNAL OF STRUCTURAL ENGINEERING

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

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

Machine learning paradigm for structural health monitoring

(2020) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Machine learning based novelty detection using modal analysis

(2019) Ali I. Ozdagli et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Emerging artificial intelligence methods in structural engineering

(2018) Hadi Salehi et al.   ENGINEERING STRUCTURES

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

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Temperature effects on static and dynamic behavior of Consoli Palace in Gubbio, Italy

(2018) Alban Kita et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

(2016) Carlos A. Perez-Ramirez et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Explaining operational modal analysis with data from an arch bridge

(2011) Filipe Magalhães et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection

(2011) F. Magalhães et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING