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Fault Diagnosis

Papers

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Showing 201–250 of 375 papers

TitleStatusHype
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines—0
Multi-mode Fault Diagnosis Datasets of Gearbox Under Variable Working Conditions—0
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain—0
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor—0
Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition—0
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios—0
Multi-sensor data fusion based on a generalised belief divergence measure—0
Multi-Source Interactive Resilient Fusion Algorithm Based on RIEKF—0
Network Tomography with Path-Centric Graph Neural Network—0
Neural Architecture Search For Fault Diagnosis—0
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation—0
Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks—0
A New Approach for Verification of Delay Coobservability of Discrete-Event Systems—0
Detection of Nonlinear Behavior in Voltage Source Converter Control in Wind Farms Based on Higher-Order Spectral Analysis—0
NonSysId: A nonlinear system identification package with improved model term selection for NARMAX models—0
Offline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Selection of Methodological Approaches and Their Application—0
On-board Fault Diagnosis of a Laboratory Mini SR-30 Gas Turbine Engine—0
Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis—0
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach—0
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis—0
PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis—0
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery—0
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data—0
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition—0
Power Transformer Fault Diagnosis with Intrinsic Time-scale Decomposition and XGBoost Classifier—0
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning—0
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction—0
Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems—0
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
Deep Metric Learning Model for Imbalanced Fault Diagnosis—0
Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems—0
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis—0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
Real-time and Downtime-tolerant Fault Diagnosis for Railway Turnout Machines (RTMs) Empowered with Cloud-Edge Pipeline Parallelism—0
Real Time Bearing Fault Diagnosis Based on Convolutional Neural Network and STM32 Microcontroller—0
Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion—0
Real time state monitoring and fault diagnosis system for motor based on LabVIEW—0
Recent Advances in Model-Based Fault Diagnosis for Lithium-Ion Batteries: A Comprehensive Review—0
Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems—0
Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory—0
Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm—0
Research on Anomaly Detection Methods Based on Diffusion Models—0
Research on fault diagnosis of nuclear power first-second circuit based on hierarchical multi-granularity classification network—0
RES-HD: Resilient Intelligent Fault Diagnosis Against Adversarial Attacks Using Hyper-Dimensional Computing—0
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments—0
Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis—0
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis—0
Review for AI-based Open-Circuit Faults Diagnosis Methods in Power Electronics Converters—0
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology—0
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Benchmark Results

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