Review of Vibration-Based Structural Health Monitoring Using Deep Learning
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Review of Vibration-Based Structural Health Monitoring Using Deep Learning
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 10, Issue 5, Pages 1680
Publisher
MDPI AG
Online
2020-03-02
DOI
10.3390/app10051680
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An architecture of deep learning network based on ensemble empirical mode decomposition in precise identification of bearing vibration signal
- (2019) V. Hung Nguyen et al. Journal of Mechanical Science and Technology
- Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogoemetric analysis
- (2019) Samir Khatir et al. JOURNAL OF SOUND AND VIBRATION
- Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder
- (2019) Dai et al. Applied Sciences-Basel
- One-Dimensional CNN-Based Intelligent Recognition of Vibrations in Pipeline Monitoring With DAS
- (2019) Huijuan Wu et al. JOURNAL OF LIGHTWAVE TECHNOLOGY
- A computational approach for crack identification in plate structures using XFEM, XIGA, PSO and Jaya algorithm
- (2019) Samir Khatir et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- Determination of Clamping Force Using Bolt Vibration Responses during the Tightening Process
- (2019) Gyungmin Toh et al. Applied Sciences-Basel
- Event-Triggered Adaptive Control for Uncertain Constrained Nonlinear Systems With Its Application
- (2019) Huihui Pan et al. IEEE Transactions on Industrial Informatics
- Damage detection in CFRP composite beams based on vibration analysis using proper orthogonal decomposition method with radial basis functions and cuckoo search algorithm
- (2018) Khatir Samir et al. COMPOSITE STRUCTURES
- Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization
- (2018) Samir Khatir et al. COMPTES RENDUS MECANIQUE
- A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
- (2018) Long Wen et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification
- (2018) Bo Luo et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis
- (2018) Hyunseok Oh et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
- (2018) Jiedi Sun et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Artificial intelligence for fault diagnosis of rotating machinery: A review
- (2018) Ruonan Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components
- (2018) Jason Deutsch et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
- (2018) Dong Wang et al. IEEE Access
- Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning
- (2018) Pei Cao et al. IEEE Access
- A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network
- (2018) Mario de Oliveira et al. SENSORS
- A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm
- (2018) Roumaissa Zenzen et al. COMPTES RENDUS MECANIQUE
- Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm
- (2018) Samir Khatir et al. ENGINEERING FRACTURE MECHANICS
- Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm
- (2018) S. Tiachacht et al. ENGINEERING STRUCTURES
- Deep learning and its applications to machine health monitoring
- (2018) Rui Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep Learning-Based Damage, Load and Support Identification for a Composite Pipeline by Extracting Modal Macro Strains from Dynamic Excitations
- (2018) Ying Zhao et al. Applied Sciences-Basel
- A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults
- (2018) Te Han et al. KNOWLEDGE-BASED SYSTEMS
- A deep learning approach to condition monitoring of cantilever beams via time-frequency extended signatures
- (2018) Habil. Darian M. Onchis COMPUTERS IN INDUSTRY
- Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network
- (2018) Asif Khan et al. COMPOSITES PART B-ENGINEERING
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- (2017) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks
- (2017) Hexuan Hu et al. IEEE Transactions on Industrial Informatics
- Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
- (2017) Osama Abdeljaber et al. JOURNAL OF SOUND AND VIBRATION
- Vibration signal analysis and fault diagnosis of bogies of the high-speed train based on deep neural networks
- (2017) Jian Ming Yan et al. Journal of Vibroengineering
- A hydraulic fault diagnosis method based on sliding-window spectrum feature and deep belief network
- (2017) Jie Huang et al. Journal of Vibroengineering
- A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
- (2017) Haidong Shao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A spectral-based clustering for structural health monitoring of the Sydney Harbour Bridge
- (2017) Mehrisadat Makki Alamdari et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
- (2017) Rui Zhao et al. SENSORS
- Unsupervised Fault Diagnosis of a Gear Transmission Chain Using a Deep Belief Network
- (2017) Jun He et al. SENSORS
- A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals
- (2017) Wei Zhang et al. SENSORS
- Coal-Rock Recognition in Top Coal Caving Using Bimodal Deep Learning and Hilbert-Huang Transform
- (2017) Guoxin Zhang et al. SHOCK AND VIBRATION
- Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
- (2017) Chen Lu et al. SIGNAL PROCESSING
- Sound quality prediction of vehicle interior noise using deep belief networks
- (2016) Hai B. Huang et al. APPLIED ACOUSTICS
- Fault Diagnosis of On-Load Tap-Changer in Converter Transformer Based on Time–Frequency Vibration Analysis
- (2016) Ruochen Duan et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
- (2016) Chuan Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Damage detection and localization in composite beam structures based on vibration analysis
- (2016) Samir Khatir et al. Mechanika
- Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
- (2016) Chuan Li et al. SENSORS
- Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals
- (2016) Hongmei Liu et al. SHOCK AND VIBRATION
- Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics
- (2015) Kamran Javed et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
- (2015) Abdenour Soualhi et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
- (2015) Wade A. Smith et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A structural health monitoring strategy using cepstral features
- (2014) L. Balsamo et al. JOURNAL OF SOUND AND VIBRATION
- Structural health monitoring by using a sparse coding-based deep learning algorithm with wireless sensor networks
- (2014) Junqi Guo et al. Personal and Ubiquitous Computing
- Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks
- (2014) Ulrike Dackermann et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- MUSIC-ANN Analysis for Locating Structural Damages in a Truss-Type Structure by Means of Vibrations
- (2012) Roque A Osornio-Rios et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Rotational Machine Health Monitoring and Fault Detection Using EMD-Based Acoustic Emission Feature Quantification
- (2012) Ruoyu Li et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVMs)
- (2011) P. Konar et al. APPLIED SOFT COMPUTING
- 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
- Rolling element bearing fault detection in industrial environments based on a K-means clustering approach
- (2010) C.T. Yiakopoulos et al. EXPERT SYSTEMS WITH APPLICATIONS
- Autonomous Helicopter Aerobatics through Apprenticeship Learning
- (2010) Pieter Abbeel et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis function neural network
- (2009) Hui Li et al. Journal of Mechanical Science and Technology
- A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box
- (2007) N. Saravanan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Vibration and current transient monitoring for gearbox fault detection using multiresolution Fourier transform
- (2007) Chinmaya Kar et al. JOURNAL OF SOUND AND VIBRATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search