Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data

Vibration‐based structural condition assessment using convolution neural networks

(2018) Hamid Khodabandehlou et al.   Structural Control & Health Monitoring

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

Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings

(2017) David Verstraete et al.   SHOCK AND VIBRATION

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment

(2016) Linxia Liao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Online Sequential Extreme Learning Machine for Vibration-Based Damage Assessment Using Transmissibility Data

(2016) V. Meruane   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring

(2016) Liang Guo et al.   SHOCK AND VIBRATION

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

(2016) Hongmei Liu et al.   SHOCK AND VIBRATION

Structural damage assessment using linear approximation with maximum entropy and transmissibility data

(2015) V. Meruane et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

An inverse parallel genetic algorithm for the identification of skin/core debonding in honeycomb aluminium panels

(2015) V. Meruane et al.   Structural Control & Health Monitoring

Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies

(2014) V. Meruane et al.   SHOCK AND VIBRATION

Damage localization using transmissibility functions: A critical review

(2013) Simon Chesné et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Model updating using antiresonant frequencies identified from transmissibility functions

(2012) V. Meruane   JOURNAL OF SOUND AND VIBRATION

Gradient methods for minimizing composite functions

(2012) Yu. Nesterov   MATHEMATICAL PROGRAMMING

On the use of the transmissibility concept for the evaluation of frequency response functions

(2010) António P.V. Urgueira et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Identification of Structural Damage in a Vehicular Bridge using Artificial Neural Networks

(2010) C. González-Pérez et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An evidence-based approach to damage location on an aircraft structure

(2008) K. Worden et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING