A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem

Advance spectral approach for condition evaluation of rolling element bearings

(2020) Prashant Tiwari et al.   ISA TRANSACTIONS

A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions

(2020) Tianhao Hu 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

Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery

(2020) Xiang Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault detection and identification of rolling element bearings with Attentive Dense CNN

(2020) Spyridon Plakias et al.   NEUROCOMPUTING

Few-shot transfer learning for intelligent fault diagnosis of machine

(2020) Jingyao Wu et al.   MEASUREMENT

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

(2019) Te Han et al.   ISA TRANSACTIONS

A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network

(2019) Yuantao Yang et al.   ISA TRANSACTIONS

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

(2019) Md Junayed Hasan et al.   MEASUREMENT

A novel gas turbine fault diagnosis method based on transfer learning with CNN

(2019) Shi-sheng Zhong et al.   MEASUREMENT

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

Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis

(2019) Dengyu Xiao et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

(2019) Gaowei Xu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Mechanical model development of rolling bearing-rotor systems: A review

(2018) Hongrui Cao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Simulation-driven machine learning: Bearing fault classification

(2018) Cameron Sobie et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu 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

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

(2018) Xiang Li et al.   NEUROCOMPUTING

Deep visual domain adaptation: A survey

(2018) Mei Wang et al.   NEUROCOMPUTING

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

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

(2018) Xiang Li et al.   SIGNAL PROCESSING

A Small-Sample Wind Turbine Fault Detection Method With Synthetic Fault Data Using Generative Adversarial Nets

(2018) Jinhai Liu et al.   IEEE Transactions on Industrial Informatics

Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings

(2017) Yongbo Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Ball bearing defect models: A study of simulated and experimental fault signatures

(2017) C. Mishra et al.   JOURNAL OF SOUND AND VIBRATION

Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

(2017) Ran Zhang et al.   IEEE Access

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

(2016) Yanxue Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

A nonlinear dynamic vibration model of defective bearings – The importance of modelling the finite size of rolling elements

(2015) Alireza Moazen Ahmadi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transfer Learning for Visual Categorization: A Survey

(2015) Ling Shao et al.   IEEE Transactions on Neural Networks and Learning Systems

Dynamic Modeling and Vibration Response Simulation for High Speed Rolling Ball Bearings With Localized Surface Defects in Raceways

(2014) Linkai Niu et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Analyses of contact forces and vibration response for a defective rolling element bearing using an explicit dynamics finite element model

(2014) Sarabjeet Singh et al.   JOURNAL OF SOUND AND VIBRATION

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

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

Transfer learning for activity recognition: a survey

(2013) Diane Cook et al.   KNOWLEDGE AND INFORMATION SYSTEMS

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

A Survey on Transfer Learning

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

Simulating gear and bearing interactions in the presence of faults

(2007) N. Sawalhi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING