A transfer learning approach for damage diagnosis in composite laminated plate using Lamb waves

Feature learning using convolutional denoising autoencoder for activity recognition

(2021) Mohd Halim Mohd Noor   NEURAL COMPUTING & APPLICATIONS

Lamb wave based damage detection in metallic plates using multi-headed 1-dimensional Convolutional Neural Network

(2021) Akshay Rai et al.   Smart Materials and Structures

Damage Localization in Composite Plates Using Wavelet Transform and 2-D Convolutional Neural Networks

(2021) Guillermo Azuara et al.   SENSORS

Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network

(2021) Ranting Cui et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform

(2021) Jun Wu et al.   COMPOSITE STRUCTURES

Automatic recommendation of feature selection algorithms based on dataset characteristics

(2021) Antonio Rafael Sabino Parmezan et al.   EXPERT SYSTEMS WITH APPLICATIONS

A novel self-learning feature selection approach based on feature attributions

(2021) Jianting Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Explainable 1-D convolutional neural network for damage detection using Lamb wave

(2021) Pushpa Pandey et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes

(2020) Shumei Chen et al.   JOURNAL OF PROCESS CONTROL

Environmental and Operational Conditions Effects on Lamb Wave Based Structural Health Monitoring Systems: A Review

(2020) Rahim Gorgin et al.   ULTRASONICS

Data-Driven Structural Health Monitoring Approach Using Guided Lamb Wave Responses

(2020) Prabhav Borate et al.   JOURNAL OF AEROSPACE ENGINEERING

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

(2020) Sandeep Sony et al.   ENGINEERING STRUCTURES

Damage localization in plate-like structures using time-varying feature and one-dimensional convolutional neural network

(2020) Shengyuan Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on transfer learning in EEG signal analysis

(2020) Zitong Wan et al.   NEUROCOMPUTING

A Comprehensive Survey on Transfer Learning

(2020) Fuzhen Zhuang et al.   PROCEEDINGS OF THE IEEE

Norm-Preservation: Why Residual Networks Can Become Extremely Deep?

(2020) Alireza Zaeemzadeh et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications

(2019) Xinlin Qing et al.   SENSORS

Deep learning and transfer learning features for plankton classification

(2019) Alessandra Lumini et al.   Ecological Informatics

Improved Damage Localization and Quantification of CFRP Using Lamb Waves and Convolution Neural Network

(2019) Chenhui Su et al.   IEEE SENSORS JOURNAL

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

A Convolutional Neural Network for Impact Detection and Characterization of Complex Composite Structures

(2019) Iuliana Tabian et al.   SENSORS

Temperature affected guided wave propagation in a composite plate complementing the Open Guided Waves Platform

(2019) Jochen Moll et al.   Scientific Data

An adaptive deep transfer learning method for bearing fault diagnosis

(2019) Zhenghong Wu et al.   MEASUREMENT

Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder

(2019) He Zhiyi et al.   MEASUREMENT

Three-stage Lamb-wave-based damage localization algorithm in plate-like structures for structural health monitoring applications

(2019) Mohammad Mahdi Bahador et al.   SIGNAL PROCESSING

Deep learning based crack damage detection technique for thin plate structures using guided lamb wave signals

(2019) Heng Liu et al.   Smart Materials and Structures

Early Fault Detection Approach With Deep Architectures

(2018) Weining Lu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Structural health monitoring: Closing the gap between research and industrial deployment

(2018) Peter Cawley   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network

(2018) Mario de Oliveira et al.   SENSORS

Open Guided Waves: online platform for ultrasonic guided wave measurements

(2018) Jochen Moll et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Classification of scaled texture patterns with transfer learning

(2018) Asaad M. Anam et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

(2016) Jaime Zabalza et al.   NEUROCOMPUTING

Guided wave based structural health monitoring: A review

(2016) Mira Mitra et al.   Smart Materials and Structures

Transfer learning using computational intelligence: A survey

(2015) Jie Lu et al.   KNOWLEDGE-BASED SYSTEMS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING