Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions

Condition-based maintenance strategy for vehicles using hidden Markov models

(2019) Sushma Kamlu et al.   Advances in Mechanical Engineering

Analysis of transfer learning for deep neural network based plant classification models

(2019) Aydin Kaya et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes

(2019) Yan Han et al.   COMPUTERS IN INDUSTRY

Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions

(2019) Md Junayed Hasan et al.   MEASUREMENT

A Deep Convolutional Neural Networks Model for Intelligent Fault Diagnosis of a Gearbox under Different Operational Conditions

(2019) Guangqi Qiu et al.   MEASUREMENT

Domain adaptation transfer learning soft sensor for product quality prediction

(2019) Yi Liu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A framework for semi-supervised metric transfer learning on manifolds

(2019) Rakesh Kumar Sanodiya et al.   KNOWLEDGE-BASED SYSTEMS

Transfer learning with deep manifold regularized auto-encoders

(2019) Yi Zhu et al.   NEUROCOMPUTING

A baseline regularization scheme for transfer learning with convolutional neural networks

(2019) Xuhong Li et al.   PATTERN RECOGNITION

Stochastic resonance in an asymmetric bistable system driven by multiplicative and additive Gaussian noise and its application in bearing fault detection

(2018) Gang Zhang et al.   CHINESE JOURNAL OF PHYSICS

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

(2018) Duy-Tang Hoang et al.   Cognitive Systems Research

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

(2018) Min Xia et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

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

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

Sigmoid-based refined composite multiscale fuzzy entropy and t-SNE based fault diagnosis approach for rolling bearing

(2018) Jinde Zheng et al.   MEASUREMENT

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

(2018) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Convolutional Neural Network Based on a Capsule Network with Strong Generalization for Bearing Fault Diagnosis

(2018) Zhiyu Zhu et al.   NEUROCOMPUTING

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder

(2017) Min Xia et al.   IET Science Measurement & Technology

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

(2017) Luyang Jing et al.   MEASUREMENT

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

(2017) Wang Fuan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

A new fault diagnosis method based on deep belief network and support vector machine with Teager–Kaiser energy operator for bearings

(2017) Dongying Han et al.   Advances in Mechanical Engineering

A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery

(2017) Wei You et al.   Advances in Mechanical Engineering

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Network Based Fault Detection for Rotating Machinery

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

Transfer learning for short-term wind speed prediction with deep neural networks

(2016) Qinghua Hu et al.   RENEWABLE ENERGY

A prognostics approach based on the evolution of damage precursors using dynamic Bayesian networks

(2016) Elaheh Rabiei et al.   Advances in Mechanical Engineering

Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem

(2016) Jiao-Hong Yi et al.   Advances in Mechanical Engineering

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

Feature learning from incomplete EEG with denoising autoencoder

(2015) Junhua Li et al.   NEUROCOMPUTING

Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization

(2011) Weisheng Dong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING