Novel Joint Transfer Network for Unsupervised Bearing Fault Diagnosis From Simulation Domain to Experimental Domain

Deep Adversarial Subdomain Adaptation Network for Intelligent Fault Diagnosis

(2022) Yanxu Liu et al.   IEEE Transactions on Industrial Informatics

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation

(2022) Yifei Ding et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images

(2022) Xin Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis

(2021) Kun Yu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis

(2021) Bo Zhao et al.   JOURNAL OF MANUFACTURING SYSTEMS

Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds

(2021) Li Xin et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning

(2021) Wei Zhang et al.   IEEE Transactions on Industrial Informatics

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Haidong Shao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds

(2021) Hongru Cao et al.   JOURNAL OF MANUFACTURING SYSTEMS

Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes

(2021) Yi Qin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers

(2021) Jun Zhu et al.   IEEE Transactions on Industrial Informatics

Deep Reinforcement Learning-Based Online Domain Adaptation Method for Fault Diagnosis of Rotating Machinery

(2021) Guoqiang Li et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults

(2020) Yun Gao et al.   IEEE Transactions on Industrial Informatics

Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine

(2020) Xiaoli Zhao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Robust Deep Learning-Based Diagnosis of Mixed Faults in Rotating Machinery

(2020) Siyuan Chen et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery

(2020) Weihua Li et al.   IEEE Transactions on Industrial Informatics

Rolling bearing fault diagnosis using optimal ensemble deep transfer network

(2020) Xingqiu Li et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

(2020) Haidong Shao et al.   IEEE Transactions on Industrial Informatics

A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines

(2020) Jun Zhu et al.   IEEE Transactions on Industrial Informatics

An Investigation Into Fault Diagnosis of Planetary Gearboxes Using A Bispectrum Convolutional Neural Network

(2020) Xinyu Pang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A Two-Stage Transfer Adversarial Network for Intelligent Fault Diagnosis of Rotating Machinery With Multiple New Faults

(2020) Jipu Li et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

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

An intelligent fault diagnosis framework dealing with arbitrary length inputs under different working conditions

(2019) Zenghui An et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

(2018) Haidong Shao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery

(2018) Liuyang Song et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

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

A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings using Deep Neural Networks

(2018) Min Xia et al.   IEEE Transactions on Industrial Informatics

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

Multisensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Motors

(2013) Ehsan Tarkesh Esfahani et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS