Imagen de Portada

Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rico, Jonathan Adam, Raghavan, Nagarajan, Jayavelu, Senthilnath
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

Incremental Multistep Forecasting of Battery Degradation Using Pseudo Targets
por: Rico, Jonathan Adam, et al.
Publicado: (2025)

TS-HINT: Enhancing Semiconductor Time Series Regression Using Attention Hints From Large Language Model Reasoning
por: Rico, Jonathan Adam, et al.
Publicado: (2025)

U-TELL: Unsupervised Task Expert Lifelong Learning
por: Solomon, Indu, et al.
Publicado: (2024)

Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models
por: Solomon, Indu, et al.
Publicado: (2024)

Robust Representation Learning with Self-Distillation for Domain Generalization
por: Singh, Ankur, et al.
Publicado: (2023)

XMOL: Explainable Multi-property Optimization of Molecules
por: Aung, Aye Phyu Phyu, et al.
Publicado: (2024)

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

Accelerating Cavity Fault Prediction Using Deep Learning at Jefferson Laboratory
por: Rahman, Monibor, et al.
Publicado: (2024)

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

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation
por: Zhu, Jianghan, 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)

Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
por: Feng, Shaodi, et al.
Publicado: (2025)

Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features
por: Wu, Yulun, et al.
Publicado: (2025)

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

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

LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis
por: Wei, Zhihuan, et al.
Publicado: (2026)

SETA: Statistical Fault Attribution for Compound AI Systems
por: Chowdhury, Sayak, et al.
Publicado: (2026)

Plastic Learning with Deep Fourier Features
por: Lewandowski, Alex, et al.
Publicado: (2024)

AI-Powered Machine Learning Approaches for Fault Diagnosis in Industrial Pumps
por: Alghtus, Khaled M. A., et al.
Publicado: (2025)

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

Fourier-enhanced Neural Networks For Systems Biology Applications
por: Xu, Enze, et al.
Publicado: (2025)

Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study
por: Mukhtar, Adil, et al.
Publicado: (2025)

Neural Factorization-based Bearing Fault Diagnosis
por: Li, Zhenhao, et al.
Publicado: (2025)

The Effect of Architecture During Continual Learning
por: Hahn, Allyson, et al.
Publicado: (2026)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
por: Dave, Akshay J., et al.
Publicado: (2024)

Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines
por: Weber, Kenan, et al.
Publicado: (2024)

Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning
por: Rubel, Mominul, et al.
Publicado: (2025)

Quantile Online Learning for Semiconductor Failure Analysis
por: Zhou, Bangjian, et al.
Publicado: (2023)

How Do the Architecture and Optimizer Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks
por: Sharon, Yuval, et al.
Publicado: (2024)

Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling
por: Daust, Kiri, et al.
Publicado: (2024)

Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
por: Zhao, Jiancheng, et al.
Publicado: (2024)

Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
por: Samiullah, Muhammad, et al.
Publicado: (2024)

Fault Localization in Deep Learning-based Software: A System-level Approach
por: Morovati, Mohammad Mehdi, et al.
Publicado: (2024)

Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
por: Aung, Aye Phyu Phyu, et al.
Publicado: (2024)

Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
por: Yang, Zhendong, et al.
Publicado: (2025)

SynForceNet: A Force-Driven Global-Local Latent Representation Framework for Lithium-Ion Battery Fault Diagnosis
por: Chen, Rongxiu, et al.
Publicado: (2026)

Double Machine Learning for Causal Inference under Shared-State Interference
por: Hays, Chris, et al.
Publicado: (2025)

UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
por: Lian, Zhixuan, et al.
Publicado: (2025)

DRBM-ClustNet: A Deep Restricted Boltzmann-Kohonen Architecture for Data Clustering
por: Senthilnath, J., et al.
Publicado: (2022)

Neural Fourier Transform: A General Approach to Equivariant Representation Learning
por: Koyama, Masanori, et al.
Publicado: (2023)