Bridge anomaly detection based on reconstruction error and structural similarity of unsupervised convolutional auto-encoder

DNoiseNet: Deep learning-based feedback active noise control in various noisy environments

(2023) Young-Jin Cha et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Normalized energy index-based signal analysis through acceleration trendlines for structural damage detection

(2023) Hadi Kordestani et al.   MEASUREMENT

Structural damage detection based on transfer learning strategy using digital twins of bridges

(2023) Shuai Teng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning-based active noise control on construction sites

(2023) Alireza Mostafavi et al.   AUTOMATION IN CONSTRUCTION

Digital image correlation-based structural state detection through deep learning

(2022) Shuai Teng et al.   Frontiers of Structural and Civil Engineering

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

(2022) Mohammad Hesam Soleimani-Babakamali et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A semi-supervised autoencoder for autism disease diagnosis

(2022) Wutao Yin et al.   NEUROCOMPUTING

Structural Damage Detection Based on Vibration Signal Fusion and Deep Learning

(2022) Jiqiao Zhang et al.   Journal of Vibration Engineering & Technologies

Structural damage detection based on convolutional neural networks and population of bridges

(2022) Shuai Teng et al.   MEASUREMENT

Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling

(2022) Hassan Sarmadi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Autoencoders for unsupervised real‐time bridge health assessment

(2022) Valentina Giglioni et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Vibration-based structural damage detection using 1-D convolutional neural network and transfer learning

(2022) Shuai Teng et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Monitoring Railway Bridge KW51 Before, During, and After Retrofitting

(2021) K. Maes et al.   Journal of Bridge Engineering

An empirical time‐domain trend line‐based bridge signal decomposing algorithm using Savitzky–Golay filter

(2021) Hadi Kordestani et al.   Structural Control & Health Monitoring

Deep learning-based Structural Health Monitoring for damage detection on a large space antenna

(2021) Paolo Iannelli et al.   ACTA ASTRONAUTICA

Ambient and Vehicle-Induced Vibration Data of a Steel Truss Bridge Subject to Artificial Damage

(2021) Chul-Woo Kim et al.   Journal of Bridge Engineering

Data‐driven system parameter change detection for a chain‐like uncertainties embedded structure

(2021) Chunwei Zhang et al.   Structural Control & Health Monitoring

Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study

(2021) Asma Alsadat Mousavi et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Damage detection and localization of a steel truss bridge model subjected to impact and white noise excitations using empirical wavelet transform neural network approach

(2021) Asma Alsadat Mousavi et al.   MEASUREMENT

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

Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

(2020) Rongrong Hou et al.   JOURNAL OF SOUND AND VIBRATION

A systematic review of convolutional neural network-based structural condition assessment techniques

(2020) Sandeep Sony et al.   ENGINEERING STRUCTURES

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

Structural damage detection using convolutional neural networks combining strain energy and dynamic response

(2019) Shuai Teng et al.   MECCANICA

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

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

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

SMC structural health monitoring benchmark problem using monitored data from an actual cable-stayed bridge

(2013) Shunlong Li et al.   Structural Control & Health Monitoring

Machine learning algorithms for damage detection under operational and environmental variability

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