Meta-learning for few-shot bearing fault diagnosis under complex working conditions

Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis

(2020) Zongzhen Zhang et al.   NEUROCOMPUTING

Bearing fault diagnosis with varying conditions using angular domain resampling technology, SDP and DCNN

(2020) Yingkui Gu et al.   MEASUREMENT

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Fine-Grained Adversarial Network Method for Cross-Domain Industrial Fault Diagnosis

(2020) Zheng Chai et al.   IEEE Transactions on Automation Science and Engineering

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

Hierarchical deep convolution neural networks based on transfer learning for transformer rectifier unit fault diagnosis

(2020) Shuwen Chen et al.   MEASUREMENT

Few-shot transfer learning for intelligent fault diagnosis of machine

(2020) Jingyao Wu et al.   MEASUREMENT

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

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

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A new bearing fault diagnosis method based on modified convolutional neural networks

(2019) Jiangquan ZHANG et al.   Chinese Journal of Aeronautics

Enhanced Random Forest With Concurrent Analysis of Static and Dynamic Nodes for Industrial Fault Classification

(2019) Zheng Chai et al.   IEEE Transactions on Industrial Informatics

Sparse Exponential Discriminant Analysis and Its Application to Fault Diagnosis

(2018) Wanke Yu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

Highly-Accurate Machine Fault Diagnosis Using Deep Transfer Learning

(2018) Siyu Shao et al.   IEEE Transactions on Industrial Informatics

Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks

(2018) Han Liu et al.   NEUROCOMPUTING

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

Deep Model Based Domain Adaptation for Fault Diagnosis

(2017) Weining Lu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2017) David Verstraete et al.   SHOCK AND VIBRATION

A Survey on Transfer Learning

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