SOTAVerified

Fault Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 375 papers

TitleStatusHype
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
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in AI, Machine Learning, and Digital Twin—0
Robust and Efficient Fault Diagnosis of mm-Wave Active Phased Arrays using Baseband Signal—0
Robust Knowledge Extraction from Large Language Models using Social Choice Theory—0
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data—0
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model—0
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples—0
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data—0
Searching Neural Architectures for Sensor Nodes on IoT Gateways—0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data—0
Semi-Supervised Co-Training of Time and Time-Frequency Models: Application to Bearing Fault Diagnosis—0
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders—0
Sensor Placement for Online Fault Diagnosis—0
Set-based state estimation and fault diagnosis using constrained zonotopes and applications—0
Simulation-to-reality UAV Fault Diagnosis with Deep Learning—0
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios—0
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network—0
Sparse Spectrahedral Shadows for State Estimation and Reachability Analysis: Set Operations, Validations and Order Reductions—0
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis—0
Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTM—0
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain—0
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning—0
SubstationAI: Multimodal Large Model-Based Approaches for Analyzing Substation Equipment Faults—0
Supervised Transfer Learning Framework for Fault Diagnosis in Wind Turbines—0
Survey of modern Fault Diagnosis methods in networks—0
Synchro-Transient-Extracting Transform for the Analysis of Signals with Both Harmonic and Impulsive Components—0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Limited Data Rolling Bearing Fault Diagnosis with Few-shot LearningCode0
Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systemsCode0
Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample GenerationCode0
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Benchmark Results

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