Bearing Fault Diagnosis under Variable Working Conditions Based on Deep Residual Shrinkage Networks and Transfer Learning

Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking

(2021) Ebenezer Jangam et al.   APPLIED INTELLIGENCE

Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images

(2021) Adi Alhudhaif et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

(2021) Zhiyi He et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Anomaly detection of industrial control systems based on transfer learning

(2021) Weiping Wang et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Symplectic weighted sparse support matrix machine for gear fault diagnosis

(2020) Xin Li et al.   MEASUREMENT

Short-term predictions of multiple wind turbine power outputs based on deep neural networks with transfer learning

(2020) Xin Liu et al.   ENERGY

Deep Learning-Based Partial Domain Adaptation Method on Intelligent Machinery Fault Diagnostics

(2020) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A transfer convolutional neural network for fault diagnosis based on ResNet-50

(2019) Long Wen et al.   NEURAL COMPUTING & APPLICATIONS

Learning transferable features in deep convolutional neural networks for diagnosing unseen machine conditions

(2019) Te Han et al.   ISA TRANSACTIONS

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method

(2019) Zenghui An et al.   NEUROCOMPUTING

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

A novel gearbox fault feature extraction and classification using Hilbert empirical wavelet transform, singular value decomposition, and SOM neural network

(2017) Boualem Merainani et al.   JOURNAL OF VIBRATION AND CONTROL

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

(2017) Chen Lu et al.   SIGNAL PROCESSING

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

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

(2013) Xuewu Dai et al.   IEEE Transactions on Industrial Informatics

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Survey on Transfer Learning

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