Co-training partial domain adaptation networks for industrial Fault Diagnosis
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Chen, Gecheng |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
On Feynman--Kac training of partial Bayesian neural networks
par: Zhao, Zheng, et autres
Publié: (2023)
par: Zhao, Zheng, et autres
Publié: (2023)
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data
par: Chen, Gecheng, et autres
Publié: (2024)
par: Chen, Gecheng, et autres
Publié: (2024)
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
par: Eldele, Emadeldeen, et autres
Publié: (2025)
par: Eldele, Emadeldeen, et autres
Publié: (2025)
RmGPT: A Foundation Model with Generative Pre-trained Transformer for Fault Diagnosis and Prognosis in Rotating Machinery
par: Wang, Yilin, et autres
Publié: (2024)
par: Wang, Yilin, et autres
Publié: (2024)
Robustness in sparse artificial neural networks trained with adaptive topology
par: Sulyok, Bendegúz, et autres
Publié: (2026)
par: Sulyok, Bendegúz, et autres
Publié: (2026)
Neural Factorization-based Bearing Fault Diagnosis
par: Li, Zhenhao, et autres
Publié: (2025)
par: Li, Zhenhao, et autres
Publié: (2025)
A domain adaptation neural network for digital twin-supported fault diagnosis
par: Chen, Zhenling, et autres
Publié: (2025)
par: Chen, Zhenling, et autres
Publié: (2025)
Polarized Direct Cross-Attention Message Passing in GNNs for Machinery Fault Diagnosis
par: Shi, Zongyu, et autres
Publié: (2026)
par: Shi, Zongyu, et autres
Publié: (2026)
FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
par: Khan, Abdullah, et autres
Publié: (2024)
par: Khan, Abdullah, et autres
Publié: (2024)
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis
par: Wang, Ziyan, et autres
Publié: (2024)
par: Wang, Ziyan, et autres
Publié: (2024)
Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations
par: Liu, Ye, et autres
Publié: (2024)
par: Liu, Ye, et autres
Publié: (2024)
Fault Diagnosis of 3D-Printed Scaled Wind Turbine Blades
par: Esquivel-Sancho, Luis Miguel, et autres
Publié: (2025)
par: Esquivel-Sancho, Luis Miguel, et autres
Publié: (2025)
Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis
par: Wang, Hanyang, et autres
Publié: (2025)
par: Wang, Hanyang, et autres
Publié: (2025)
AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
par: Alghtus, Khaled M. A., et autres
Publié: (2025)
par: Alghtus, Khaled M. A., et autres
Publié: (2025)
Diffeomorphism Neural Operator for various domains and parameters of partial differential equations
par: Zhao, Zhiwei, et autres
Publié: (2024)
par: Zhao, Zhiwei, et autres
Publié: (2024)
Unsupervised domain adaptation by learning using privileged information
par: Breitholtz, Adam, et autres
Publié: (2023)
par: Breitholtz, Adam, et autres
Publié: (2023)
Unsupervised domain adaptation for radioisotope identification in gamma spectroscopy
par: Lalor, Peter, et autres
Publié: (2026)
par: Lalor, Peter, et autres
Publié: (2026)
Geometrical structures of digital fluctuations in parameter space of neural networks trained with adaptive momentum optimization
par: Netay, Igor V.
Publié: (2024)
par: Netay, Igor V.
Publié: (2024)
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
par: Chen, Jiaying, et autres
Publié: (2024)
par: Chen, Jiaying, et autres
Publié: (2024)
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
par: Han, Pengyu, et autres
Publié: (2025)
par: Han, Pengyu, et autres
Publié: (2025)
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
par: Berman, Jules, et autres
Publié: (2024)
par: Berman, Jules, et autres
Publié: (2024)
Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis
par: Mahmoodiyan, Hootan, et autres
Publié: (2025)
par: Mahmoodiyan, Hootan, et autres
Publié: (2025)
Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan
par: Wang, Ruijun, et autres
Publié: (2023)
par: Wang, Ruijun, et autres
Publié: (2023)
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
par: Zhang, Hanrong, et autres
Publié: (2025)
par: Zhang, Hanrong, et autres
Publié: (2025)
Generalization bounds for regression and classification on adaptive covering input domains
par: Hwang, Wen-Liang
Publié: (2024)
par: Hwang, Wen-Liang
Publié: (2024)
FD-LLM: Large Language Model for Fault Diagnosis of Machines
par: Qaid, Hamzah A. A. M., et autres
Publié: (2024)
par: Qaid, Hamzah A. A. M., et autres
Publié: (2024)
Data-driven Machinery Fault Diagnosis: A Comprehensive Review
par: Neupane, Dhiraj, et autres
Publié: (2024)
par: Neupane, Dhiraj, et autres
Publié: (2024)
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
par: Weber, Kenan, et autres
Publié: (2024)
par: Weber, Kenan, et autres
Publié: (2024)
CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis
par: Chen, Qian, et autres
Publié: (2025)
par: Chen, Qian, et autres
Publié: (2025)
SynForceNet: A Force-Driven Global-Local Latent Representation Framework for Lithium-Ion Battery Fault Diagnosis
par: Chen, Rongxiu, et autres
Publié: (2026)
par: Chen, Rongxiu, et autres
Publié: (2026)
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
par: Liu, Xin, et autres
Publié: (2023)
par: Liu, Xin, et autres
Publié: (2023)
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network
par: Pan, Zhuofu, et autres
Publié: (2024)
par: Pan, Zhuofu, et autres
Publié: (2024)
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
par: Yi, Wonjun, et autres
Publié: (2025)
par: Yi, Wonjun, et autres
Publié: (2025)
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations
par: Zhang, Huan, et autres
Publié: (2024)
par: Zhang, Huan, et autres
Publié: (2024)
Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
par: Samiullah, Muhammad, et autres
Publié: (2024)
par: Samiullah, Muhammad, et autres
Publié: (2024)
Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
par: Dave, Akshay J., et autres
Publié: (2024)
par: Dave, Akshay J., et autres
Publié: (2024)
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
par: Edalati, Ali, et autres
Publié: (2024)
par: Edalati, Ali, et autres
Publié: (2024)
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
par: Zhao, Dandan, et autres
Publié: (2025)
par: Zhao, Dandan, et autres
Publié: (2025)
Fault Diagnosis and Quantification for Photovoltaic Arrays based on Differentiable Physical Models
par: Yang, Zenan, et autres
Publié: (2025)
par: Yang, Zenan, et autres
Publié: (2025)
An alternative approach to train neural networks using monotone variational inequality
par: Xu, Chen, et autres
Publié: (2022)
par: Xu, Chen, et autres
Publié: (2022)
Documents similaires
-
On Feynman--Kac training of partial Bayesian neural networks
par: Zhao, Zheng, et autres
Publié: (2023) -
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data
par: Chen, Gecheng, et autres
Publié: (2024) -
UniFault: A Fault Diagnosis Foundation Model from Bearing Data
par: Eldele, Emadeldeen, et autres
Publié: (2025) -
RmGPT: A Foundation Model with Generative Pre-trained Transformer for Fault Diagnosis and Prognosis in Rotating Machinery
par: Wang, Yilin, et autres
Publié: (2024) -
Robustness in sparse artificial neural networks trained with adaptive topology
par: Sulyok, Bendegúz, et autres
Publié: (2026)