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Fault Diagnosis

Papers

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Showing 101–150 of 375 papers

TitleStatusHype
Towards Fault Diagnosis in Induction Motor using Fractional Fourier Transform—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
TelApart: Differentiating Network Faults from Customer-Premise Faults in Cable Broadband Networks—0
A Review of Intelligent Device Fault Diagnosis Technologies Based on Machine Vision—0
Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks—0
Granular Ball K-Class Twin Support Vector Classifier—0
Model-Agnostic Meta-Learning for Fault Diagnosis of Induction Motors in Data-Scarce Environments with Varying Operating Conditions and Electric Drive Noise—0
FD-LLM: Large Language Model for Fault Diagnosis of Machines—0
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives—0
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments—0
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models—0
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis—0
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module—0
Research on fault diagnosis of nuclear power first-second circuit based on hierarchical multi-granularity classification network—0
Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm—0
Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals—0
LLM-based Framework for Bearing Fault Diagnosis—0
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism—0
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines—0
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning—0
Co-training partial domain adaptation networks for industrial Fault Diagnosis—0
Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTM—0
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer—0
Consultation on Industrial Machine Faults with Large language Models—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
Canonical Correlation Guided Deep Neural Network—0
Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems—0
VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis—0
AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System—0
Explainable Anomaly Detection: Counterfactual driven What-If Analysis—0
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks—0
The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study—0
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning—0
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis EnvironmentsCode0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis—0
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing DataCode0
Fault Diagnosis in Power Grids with Large Language Model—0
A Survey on Failure Analysis and Fault Injection in AI Systems—0
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data—0
Joint Observer Gain and Input Design for Asymptotic Active Fault Diagnosis—0
A WT-ResNet based fault diagnosis model for the urban rail train transmission system—0
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy—0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data—0
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry—0
Data-driven Machinery Fault Detection: A Comprehensive Review—0
Fault Identification Enhancement with Reinforcement Learning (FIERL)Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DANNAccuray80.22—Unverified
2LSTMAccuray61.56—Unverified