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Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Chinese journal of mechanical engineering, 2021-12, Vol.34 (1), p.1-10, Article 52

English ed., 2021

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Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Chinese journal of mechanical engineering, 2021-12, Vol.34 (1), p.1-1, Article 73

English ed., 2021

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Clustering Federated Learning for Bearing Fault Diagnosis in Aerospace Applications with a Self-Attention Mechanism

Aerospace, 2022-09, Vol.9 (9), p.516

2022

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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Mechanical systems and signal processing, 2022-03, Vol.167, p.108487, Article 108487

2022

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Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed

IEEE transactions on instrumentation and measurement, 2020-10, Vol.69 (10), p.8064-8075

2020

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A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis

IEEE transactions on industrial informatics, 2020-10, Vol.16 (10), p.6466-6475

2020

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Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

IEEE transactions on instrumentation and measurement, 2020-11, Vol.69 (11), p.8702-8712

2020

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

IEEE/ASME transactions on mechatronics, 2021-06, Vol.26 (3), p.1591-1601

2021

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Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data

IEEE transactions on instrumentation and measurement, 2020-05, Vol.69 (5), p.2304-2314

2020

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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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Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-11

2022

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A Deep Adversarial Transfer Learning Network for Machinery Emerging Fault Detection

IEEE sensors journal, 2020-08, Vol.20 (15), p.8413-8422

2020

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A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery

IEEE transactions on cybernetics, 2023-03, Vol.53 (3), p.1982-1993

2023

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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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Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2023, Vol.72, p.1-11

2023

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Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-10

2024

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Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network

Advanced engineering informatics, 2023-08, Vol.57, p.102033, Article 102033

2023

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Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions

Advanced engineering informatics, 2023-01, Vol.55, p.101883, Article 101883

2023

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An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery

Expert systems with applications, 2024-09, Vol.249, p.123836, Article 123836

2024

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Multiple Source-free Domain Adaptation Network based on Knowledge Distillation for Machinery Fault Diagnosis

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

2023

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Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions

IEEE sensors journal, 2023-08, Vol.23 (15), p.1-1

2023

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A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples

Reliability engineering & system safety, 2024-12, Vol.252, p.110429, Article 110429

2024

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A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction model

Accident analysis and prevention, 2024-11, Vol.207, p.107738, Article 107738

2024

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Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions

Mechanical systems and signal processing, 2025-01, Vol.222, p.111750, Article 111750

2025

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A novel gearbox local fault feature extraction method based on quality coefficient and dictionary learning

Measurement science & technology, 2024-06, Vol.35 (6), p.65112

2024

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Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Clustering Federated Learning for Bearing Fault Diagnosis in Aerospace Applications with a Self-Attention Mechanism

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed

A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery

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

Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data

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

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging

A Deep Adversarial Transfer Learning Network for Machinery Emerging Fault Detection

A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery

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

Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis

Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data

Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network

Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions

An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery

Multiple Source-free Domain Adaptation Network based on Knowledge Distillation for Machinery Fault Diagnosis

Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions

A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples

A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction model

Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions

A novel gearbox local fault feature extraction method based on quality coefficient and dictionary learning

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