A methodological approach towards evaluating structural damage severity using 1D CNNs

Review of Vibration-Based Structural Health Monitoring Using Deep Learning

(2020) Gyungmin Toh et al.   Applied Sciences-Basel

Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network

(2020) Xianlun Tang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multichannel one-dimensional convolutional neural network-based feature learning for fault diagnosis of industrial processes

(2020) Jianbo Yu et al.   NEURAL COMPUTING & APPLICATIONS

Structural Damage Detection Based on Real-Time Vibration Signal and Convolutional Neural Network

(2020) Zhiqiang Teng et al.   Applied Sciences-Basel

Cavitation intensity recognition for high-speed axial piston pumps using 1-D convolutional neural networks with multi-channel inputs of vibration signals

(2020) Qun Chao et al.   Alexandria Engineering 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

A Self-Adaptive 1D Convolutional Neural Network for Flight-State Identification

(2019) Xi Chen et al.   SENSORS

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

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

Wireless and real-time structural damage detection: A novel decentralized method for wireless sensor networks

(2018) Onur Avci et al.   JOURNAL OF SOUND AND VIBRATION

A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes

(2018) Jinyang Jiao et al.   KNOWLEDGE-BASED SYSTEMS

Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods

(2018) K.J. Vamvoudakis-Stefanou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

Structural health monitoring and fatigue damage estimation using vibration measurements and finite element model updating

(2018) Dimitrios Giagopoulos et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering

(2018) Kalil Erazo et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Finite element model updating considering boundary conditions using neural networks

(2017) Young-Soo Park et al.   ENGINEERING STRUCTURES

Vibration-Based Damage Detection of Bridges under Varying Temperature Effects Using Time-Series Analysis and Artificial Neural Networks

(2017) Branislav Kostić et al.   Journal of Bridge Engineering

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

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

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

Seeing it all: Convolutional network layers map the function of the human visual system

(2017) Michael Eickenberg et al.   NEUROIMAGE

Vibration signal–based fault diagnosis in complex structures: A beam-like structure approach

(2017) Hong Wang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

On vibration-based damage detection by multivariate statistical techniques: Application to a long-span arch bridge

(2016) Gabriele Comanducci et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Linear and nonlinear model updating of reinforced concrete T-beam bridges using artificial neural networks

(2013) Oğuzhan Hasançebi et al.   COMPUTERS & STRUCTURES

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

Partial discharge source discrimination using a support vector machine

(2010) L. Hao et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Vibration-based Damage Identification Methods: A Review and Comparative Study

(2010) Wei Fan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Conceptual damage-sensitive features for structural health monitoring: Laboratory and field demonstrations

(2008) F. Necati Catbas et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Damage detection of truss bridge joints using Artificial Neural Networks

(2007) M. Mehrjoo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Vibration-based structural health monitoring using output-only measurements under changing environment

(2007) A. Deraemaeker et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING