SOTAVerified

Fault Diagnosis

Papers

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Showing 226–250 of 375 papers

TitleStatusHype
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