:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Zhenhao, Cheng, Xu, Zhou, Yi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.06837
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments
by: Edward, et al.
Published: (2024)

Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
by: Mirzaeibonehkhater, Marzieh, et al.
Published: (2024)

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

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

Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks
by: Kilickaya, Sertac, et al.
Published: (2024)