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

IEEE transactions on industrial informatics, 2021-05, Vol.17 (5), p.3488-3496

2021

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Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-28

2021

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Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6339-6353

2023

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A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-11

2021

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Distribution-Invariant Deep Belief Network for Intelligent Fault Diagnosis of Machines Under New Working Conditions

IEEE transactions on industrial electronics (1982), 2021-03, Vol.68 (3), p.2617-2625

2021

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Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-13

2021

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

IEEE access, 2017, Vol.5, p.14347-14357

2017

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A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery

IEEE transactions on industrial electronics (1982), 2022-06, Vol.69 (6), p.6298-6307

2022

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Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

IEEE access, 2019, Vol.7, p.110895-110904

2019

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Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine With Unlabeled Data

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-9

2022

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Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data

IEEE transactions on industrial informatics, 2022-06, Vol.18 (6), p.3894-3904

2022

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Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions

IEEE transactions on industrial electronics (1982), 2024-01, Vol.71 (1), p.965-974

2024

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Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis

IEEE transactions on industrial informatics, 2023-03, Vol.19 (3), p.2909-2918

2023

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A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-13

2021

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An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations

IEEE transactions on industrial electronics (1982), 2024-07, Vol.71 (7), p.7896-7905

2024

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Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies

IEEE transactions on cybernetics, 2022-09, Vol.52 (9), p.9784-9796

2022

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A General Transfer Framework Based on Industrial Process Fault Diagnosis Under Small Samples

IEEE transactions on industrial informatics, 2021-09, Vol.17 (9), p.6073-6083

2021

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A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions

IEEE transactions on industrial electronics (1982), 2023-06, Vol.70 (6), p.6272-6283

2023

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Meta-Learning Based Domain Generalization Framework for Fault Diagnosis With Gradient Aligning and Semantic Matching

IEEE transactions on industrial informatics, 2024-01, Vol.20 (1), p.1-11

2024

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Meta-Learning With Intraclass and Interclass Optimization for Few-Shot Fault Diagnosis

IEEE transactions on industrial informatics, 2024-10, p.1-10

2024

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Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7657-7670

2024

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Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-15

2021

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A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions

IEEE access, 2019, Vol.7, p.65303-65318

2019

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

Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions

Distribution-Invariant Deep Belief Network for Intelligent Fault Diagnosis of Machines Under New Working Conditions

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions

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

A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery

Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine With Unlabeled Data

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data

Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions

Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions

Adversarial Mutual Information-Guided Single Domain Generalization Network for Intelligent Fault Diagnosis

A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions

An Elastic Expandable Fault Diagnosis Method of Three-Phase Motors Using Continual Learning for Class-Added Sample Accumulations

Multisource-Refined Transfer Network for Industrial Fault Diagnosis Under Domain and Category Inconsistencies

A General Transfer Framework Based on Industrial Process Fault Diagnosis Under Small Samples

A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions

Meta-Learning Based Domain Generalization Framework for Fault Diagnosis With Gradient Aligning and Semantic Matching

Meta-Learning With Intraclass and Interclass Optimization for Few-Shot Fault Diagnosis

Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis

Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnosis

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions

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