SOTAVerified

Fault Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 375 papers

TitleStatusHype
A crayfish-optimized wavelet filter and its application to fault diagnosis—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
Hybrid Resolver Model Generalization for Fault Condition Modeling: A Promising Tool for Reliability Study—0
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective—0
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge DistillationCode0
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis—0
A Multimodal Lightweight Approach to Fault Diagnosis of Induction Motors in High-Dimensional Dataset—0
Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?—0
Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and ProspectsCode0
Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
Towards Fault Diagnosis in Induction Motor using Fractional Fourier Transform—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
Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives—0
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
FD-LLM: Large Language Model for Fault Diagnosis of Machines—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
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines—0
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism—0
Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring DataCode1
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
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
Consultation on Industrial Machine Faults with Large language Models—0
Canonical Correlation Guided Deep Neural Network—0
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
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
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal RepresentationCode2
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
Show:102550
← PrevPage 2 of 8Next →

Benchmark Results

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