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Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ARTIFICIAL NEURAL NETWORK BASED FAULT DIAGNOSTICS OF ROLLING ELEMENT BEARINGS USING TIME-DOMAIN FEATURES
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A Wavelet-Based Statistical Approach for Monitoring and Diagnosis of Compound Faults With Application to Rolling Bearings
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Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes
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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
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Differentiable neural architecture search for domain adaptation in fault diagnosis
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Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method
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Double-classifier adversarial learning for fault diagnosis of rotating machinery considering cross domains
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Unconstrained Wasserstein distance and multi-attention fusion convolutional neural network guided adversarial domain adaptation for cross-domain fault diagnosis of machines
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Intelligent diagnosis of rolling bearings under cross-domain missing data: A lightweight complex domain imputation and unsupervised time–frequency alignment approach
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An improved unsupervised domain adversarial transfer network for motor eccentricity monitoring assisted by simulation data
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TFDFNet: a dual-branch fault diagnosis model for bearings under noisy and complex industrial environments
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A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect
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Dual Attention Smoothing Adaptation Networks for Aeroengine Multisource Cross-Domain Fault Diagnosis under Category Shift
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A new cross-domain approach for bearing fault diagnosis based on multiscale convolutional networks and adversarial subdomain adaptation
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Intelligent fault diagnosis method for bearings based on WSVM-CNN
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A novel transfer-learning method based on selective normalization for fault diagnosis with limited labeled data
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Wasserstein distance-based asymmetric adversarial domain adaptation in intelligent bearing fault diagnosis
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A dual-view alignment-based domain adaptation network for fault diagnosis
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Rolling bearing transfer fault diagnosis method based on adversarial variational autoencoder network
inferred← citeshttps://doi.org/10.1088/1361-6501/ac2ac0openalex-snapshot
A novel attention-based domain adaptation model for intelligent bearing fault diagnosis under variable working conditions
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A higher-order moment matching based fine-grained adversarial domain adaptation method for intelligent bearing fault diagnosis
inferred← citeshttps://doi.org/10.1088/1361-6501/ac58e5openalex-snapshot
Step-by-step gradual domain adaptation for rotating machinery fault diagnosis
inferred← citeshttps://doi.org/10.1088/1361-6501/ac5c92openalex-snapshot
Soft measurement of ball mill load under variable working conditions based on deep transfer learning
inferred← citeshttps://doi.org/10.1088/1361-6501/ac819eopenalex-snapshot
Prototype-guided bi-level adversarial domain adaptation network for intelligent fault diagnosis of rotating machinery under various working conditions
inferred← citeshttps://doi.org/10.1088/1361-6501/acc34aopenalex-snapshot
Intelligent fault diagnosis of planetary gearboxes under time-varying conditions based on dynamic adversarial balance adaptation with multi-label information confusion
inferred← citeshttps://doi.org/10.1088/1361-6501/acc67dopenalex-snapshot
A working-condition-robust method for two-stage health measurement of rolling bearings based on energy entropy distribution and dynamic adversarial transfer network
inferred← citeshttps://doi.org/10.1088/1361-6501/ad3668openalex-snapshot
A semi-supervised learning method based on pseudo-label iterative purification for intelligent fault diagnosis of rolling bearing
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Dual-weight attention-based multi-source multi-stage alignment domain adaptation for industrial fault diagnosis
inferred← citeshttps://doi.org/10.1088/1361-6501/ad8f53openalex-snapshot
Multi-channel fused vision transformer network for bearing fault diagnosis under different working conditions
inferred← citeshttps://doi.org/10.1088/1361-6501/add315openalex-snapshot
A multi-source domain adaptive bearing fault diagnosis method based on progressive multi-stage alignment guidance
inferred← citeshttps://doi.org/10.1088/1361-6501/ae4cb2openalex-snapshot
TAAGNet: a temporal–attribute–adaptive graph convolutional network for unsupervised cross-domain bearing fault diagnosis
inferred← citeshttps://doi.org/10.1088/1742-6596/1648/2/022072openalex-snapshot
Research on Intelligent Diagnosis of Station Line Loss Based on Data Mining Technology
inferred← citeshttps://doi.org/10.1101/2025.02.03.636036openalex-snapshot
A novel deep optimal transport framework reveals prostate cancer risk heterogeneity, Alzheimer’s disease risk heterogeneity, and myeloma cells associated with a short-term sham bortezomib response and progressive disease
inferred← citeshttps://doi.org/10.1109/access.2020.3043398openalex-snapshot
Fault Diagnosis of Air Compressor in Nuclear Power Plant Based on Vibration Observation Window
inferred← citeshttps://doi.org/10.1109/access.2022.3199381openalex-snapshot
One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2022.3213657openalex-snapshot
Convolutional Neural Network Based Two-Layer Transfer Learning for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/access.2022.3233220openalex-snapshot
Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges
inferred← citeshttps://doi.org/10.1109/access.2023.3239784openalex-snapshot
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
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A Fault Diagnosis Method for Dry Vacuum Pump Bearing Based on Finite Element Simulation With Deep Transfer Learning
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Fault Diagnosis of Wind Turbines with A Dilated Convolution and Hybrid Attention Neural Network
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A Survey on Intelligent Predictive Maintenance (IPdM) in the Era of Fully Connected Intelligence
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Fault Diagnosis of Rotating Equipment Bearings Based on VMD-MSGWO-SVM
inferred← citeshttps://doi.org/10.1109/i2mtc50364.2021.9460049openalex-snapshot
Multi-sensor Signal Statistical Feature Processing Method for Status Monitoring of Gas-Water Two-Phase Flow in Horizontal Pipe
inferred← citeshttps://doi.org/10.1109/iccad64771.2025.11099349openalex-snapshot
A Domain Adaptation Neural Network for Digital Twin-Supported Fault Diagnosis
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Unsupervised Domain Adaptive Method Based on Time Domain Mask Consistency in Bearing Fault Diagnosis
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A Breif Review on Data-driven Battery Health Estimation Methods for Energy Storage Systems
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Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries
inferred← citeshttps://doi.org/10.1109/icrcv67407.2025.11349206openalex-snapshot
HierarchicalWine: Enhancing Wine Label Recognition through Advanced 3D Data Augmentation and Hierarchical Classification
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A Domain Mapping Transfer Learning Method for Fault Diagnosis Based on Current Signal
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Adversarial Domain Bias Removal Network for Cross-condition Bearing Fault Diagnosis
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Parallel Fault Diagnosis Algorithm of Circuit Breaker Based on Arc Power Loss
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Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach
inferred← citeshttps://doi.org/10.1109/jiot.2023.3267830openalex-snapshot
Intelligent Fault Identification for Industrial Internet of Things via Prototype-Guided Partial Domain Adaptation With Momentum Weight
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A Deep Transferable Convolution Neural Network for Unsupervised Cross-Domain Diagnostics of Rolling Bearings in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2025.3550916openalex-snapshot
MSDF-VAE: A Cloud–Edge Collaborative Method for Fault Diagnosis Based on Transfer Learning
inferred← citeshttps://doi.org/10.1109/jsen.2023.3291437openalex-snapshot
An Unsupervised Domain Adaptation Method for Intelligent Bearing Fault Diagnosis Based on Signal Reconstruction by Cycle-Consistent Adversarial Learning
inferred← citeshttps://doi.org/10.1109/jsen.2023.3330139openalex-snapshot
A Fault Diagnosis Method for Rolling Bearing Based on Deep Adversarial Transfer Learning With Transferability Measurement
inferred← citeshttps://doi.org/10.1109/jsen.2025.3557632openalex-snapshot
Intelligent Diagnosis of Motor Rolling Bearing Based on Wavelet Dropout Convolutional Neural Network With Asymptotically Trained Interference
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An Adaptive Multi-Adversarial Transfer Network With a Complementary Transferable Metric Mechanism for Diagnosing Unknown Fault
inferred← citeshttps://doi.org/10.1109/jsen.2025.3633066openalex-snapshot
A Novel Consistent Regularized Domain Smoothing Generalized Networks for Cross-Domain Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/jsen.2026.3709627openalex-snapshot
TAKNI: Temporal Attention-Driven Kernel Norm Integration Network for Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/mci.2021.3084495openalex-snapshot
Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes]
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A novel unsupervised deep transfer learning method based on contrast pre-training for fault diagnosis
inferred← citeshttps://doi.org/10.1109/phm-hangzhou58797.2023.10482802openalex-snapshot
Dual-domain Signal Fusion Adversarial Network Based Vision Transformer for Cross-domain Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/phm-nanjing52125.2021.9613085openalex-snapshot
Multilayer Domain Adaptation-Based Convolutional Auto Encoder for Fault Diagnosis under Different Speeds
inferred← citeshttps://doi.org/10.1109/tase.2021.3069109openalex-snapshot
Fault Diagnosis of Rotating Machinery Based on Wasserstein Distance and Feature Selection
inferred← citeshttps://doi.org/10.1109/tetci.2024.3369999openalex-snapshot
WLR-Net: An Improved YOLO-V7 With Edge Constraints and Attention Mechanism for Water Leakage Recognition in the Tunnel
inferred← citeshttps://doi.org/10.1109/tfuzz.2024.3363708openalex-snapshot
From Coarse to Fine: Hierarchical Zero-Shot Fault Diagnosis With Multigrained Attributes
inferred← citeshttps://doi.org/10.1109/tia.2023.3274099openalex-snapshot
A Novel Hybrid Transfer Learning Approach for Small-Sample High-Voltage Circuit Breaker Fault Diagnosis On-site
inferred← citeshttps://doi.org/10.1109/tie.2021.3086707openalex-snapshot
A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery
inferred← citeshttps://doi.org/10.1109/tii.2020.3045392openalex-snapshot
Multiscale Transfer Voting Mechanism: A New Strategy for Domain Adaption
inferred← citeshttps://doi.org/10.1109/tii.2021.3138558openalex-snapshot
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers
inferred← citeshttps://doi.org/10.1109/tii.2022.3220905openalex-snapshot
A Multi-Indicator Fusion-Based Approach for Fault Feature Selection and Classification of Rolling Bearings
inferred← citeshttps://doi.org/10.1109/tii.2024.3396335openalex-snapshot
Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery
inferred← citeshttps://doi.org/10.1109/tii.2025.3552652openalex-snapshot
A Novel Pairwise Domain-Adaptation-Assisted Dual-Task Learning Approach to Coprediction of Robotic Machining Efficiency and Quality in New Parameter Spaces
inferred← citeshttps://doi.org/10.1109/tii.2025.3593804openalex-snapshot
Guided Explicit Mechanism Property Generation Using WGAN and Integrated Regression Model for Insufficient Gasoline NIR Data Augmentation
inferred← citeshttps://doi.org/10.1109/tim.2021.3112800openalex-snapshot
Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis With Considering Cross-Machine Instance
inferred← citeshttps://doi.org/10.1109/tim.2021.3116309openalex-snapshot
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
inferred← citeshttps://doi.org/10.1109/tim.2021.3122171openalex-snapshot
IFDS: An Intelligent Fault Diagnosis System With Multisource Unsupervised Domain Adaptation for Different Working Conditions
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