Imagen de Portada

Neural Factorization-based Bearing Fault Diagnosis

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Zhenhao, Cheng, Xu, Zhou, Yi
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

UniFault: A Fault Diagnosis Foundation Model from Bearing Data
por: Eldele, Emadeldeen, et al.
Publicado: (2025)

An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
por: Sun, Shengke, et al.
Publicado: (2025)

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
por: Zuo, Lin, et al.
Publicado: (2024)

Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
por: Chen, Jiaying, et al.
Publicado: (2024)

FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
por: Zhou, Anthony, et al.
Publicado: (2023)

An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals
por: Wang, Zhao, et al.
Publicado: (2024)

Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning
por: Wang, Jinze, et al.
Publicado: (2024)

Deep Learning Approach to Bearing and Induction Motor Fault Diagnosis via Data Fusion
por: Sehri, Mert, et al.
Publicado: (2025)

Statistical Batch-Based Bearing Fault Detection
por: Jorry, Victoria, et al.
Publicado: (2024)

A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis
por: Çakır, Efe, et al.
Publicado: (2025)

Integrating Frequency Guidance into Multi-source Domain Generalization for Bearing Fault Diagnosis
por: Tu, Xiaotong, et al.
Publicado: (2025)

Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
por: Jalonen, Tuomas, et al.
Publicado: (2023)

Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis
por: Kavianpour, Mohammadreza, et al.
Publicado: (2025)

Hierarchical Bidirectional Transition Dispersion Entropy-based Lempel-Ziv Complexity and Its Application in Fault-Bearing Diagnosis
por: Jiang, Runze, et al.
Publicado: (2024)

Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
por: Ahang, Maryam, et al.
Publicado: (2022)

Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing
por: Liu, Huanbai, et al.
Publicado: (2024)

Fault Diagnosis and Quantification for Photovoltaic Arrays based on Differentiable Physical Models
por: Yang, Zenan, et al.
Publicado: (2025)

Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
por: Yi, Wonjun, et al.
Publicado: (2025)

Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain
por: Yi, Wonjun, et al.
Publicado: (2025)

Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data
por: Kavianpour, Mohammadreza, et al.
Publicado: (2024)

Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan
por: Wang, Ruijun, et al.
Publicado: (2023)

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
por: Li, Zhongzhi, et al.
Publicado: (2024)

Spiking Graph Neural Network on Riemannian Manifolds
por: Sun, Li, et al.
Publicado: (2024)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
por: Zhao, Dandan, et al.
Publicado: (2025)

Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning
por: Alam, Tasfiq E., et al.
Publicado: (2025)

FD-LLM: Large Language Model for Fault Diagnosis of Machines
por: Qaid, Hamzah A. A. M., et al.
Publicado: (2024)

Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?
por: Jahan, Sigma, et al.
Publicado: (2025)

Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
por: Han, Pengyu, et al.
Publicado: (2025)

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
por: Khan, Abdullah, et al.
Publicado: (2024)

Open-Set Fault Diagnosis in Multimode Processes via Fine-Grained Deep Feature Representation
por: Li, Guangqiang, et al.
Publicado: (2025)

Fusion of Quadratic Time-Frequency Analysis and Convolutional Neural Networks to Diagnose Bearing Faults Under Time-Varying Speeds
por: Al-Sa'd, Mohammad, et al.
Publicado: (2024)

Factor Graph-based Interpretable Neural Networks
por: Li, Yicong, et al.
Publicado: (2025)

Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation
por: Zhang, Hanrong, et al.
Publicado: (2025)

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities
por: Wang, Huan, et al.
Publicado: (2023)

DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
por: Petrosian, Ovanes, et al.
Publicado: (2024)

Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
por: Cohen, Joseph, et al.
Publicado: (2023)

Asymmetric Adaptation-based Real-time Fault Diagnosis Under Transitional Operating Conditions
por: Zhao, Hongshuo, et al.
Publicado: (2026)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
por: Chen, Qian, et al.
Publicado: (2022)

Fairness-Aware Fine-Tuning of Vision-Language Models for Medical Glaucoma Diagnosis
por: Gu, Zijian, et al.
Publicado: (2025)

Fault Diagnosis of 3D-Printed Scaled Wind Turbine Blades
por: Esquivel-Sancho, Luis Miguel, et al.
Publicado: (2025)