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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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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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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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The impact of employee welfare on innovation performance: Evidence from China's manufacturing corporations

International journal of production economics, 2020-10, Vol.228, p.107753, Article 107753

2020

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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 New Deep Transfer Learning Method for Bearing Fault Diagnosis Under Different Working Conditions

IEEE sensors journal, 2020-08, Vol.20 (15), p.8394-8402

2020

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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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Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing

IEEE transaction on neural networks and learning systems, 2022-09, Vol.33 (9), p.4757-4769

2022

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State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning

IEEE transactions on power electronics, 2022-03, Vol.37 (3), p.3528-3543

2022

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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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Employee welfare and stock price crash risk

Journal of corporate finance (Amsterdam, Netherlands), 2018-02, Vol.48, p.700-725

2018

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Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation

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

2021

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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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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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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 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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Do investors value job information? Evidence from employee welfare policy

Applied economics, 2023-12, p.1-13

Gu, Junjian

2023

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Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction

IEEE transactions on industrial informatics, 2021-08, Vol.17 (8), p.5239-5249

2021

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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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Contactless Fault Diagnosis for Railway Point Machines Based on Multi-Scale Fractional Wavelet Packet Energy Entropy and Synchronous Optimization Strategy

IEEE transactions on vehicular technology, 2022-06, Vol.71 (6), p.5906-5914

2022

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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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The mediating effect of employee engagement and well-being on turnover intention in Indonesia

Problems and perspectives in management, 2024-05, Vol.22 (2), p.477-487

2024

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A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching

IEEE transactions on instrumentation and measurement, 2020-02, Vol.69 (2), p.443-456

2020

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

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

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

The impact of employee welfare on innovation performance: Evidence from China's manufacturing corporations

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

A New Deep Transfer Learning Method for Bearing Fault Diagnosis Under Different Working Conditions

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

Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing

State-of-Health Estimation for Lithium-Ion Batteries Using Domain Adversarial Transfer Learning

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

Employee welfare and stock price crash risk

Remaining Useful Life Estimation Under Multiple Operating Conditions via Deep Subdomain Adaptation

Deep Mixed Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen 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

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

A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery

Do investors value job information? Evidence from employee welfare policy

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction

Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning

Contactless Fault Diagnosis for Railway Point Machines Based on Multi-Scale Fractional Wavelet Packet Energy Entropy and Synchronous Optimization Strategy

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

The mediating effect of employee engagement and well-being on turnover intention in Indonesia

A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching

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