SOTAVerified

Fault Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 176–200 of 375 papers

TitleStatusHype
SeqNAS: Neural Architecture Search for Event Sequence ClassificationCode0
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning—0
Robust Knowledge Extraction from Large Language Models using Social Choice Theory—0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning—0
Fault Diagnosis and Prognosis Capabilities for Wind Turbine Hydraulic Pitch Systems—0
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed ConditionsCode0
Line zonotopes: A tool for state estimation and fault diagnosis of unbounded and descriptor systemsCode0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities—0
TSViT: A Time Series Vision Transformer for Fault Diagnosis—0
Application of a Dense Fusion Attention Network in Fault Diagnosis of Centrifugal Fan—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis—0
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis—0
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
A Sparse Bayesian Learning for Diagnosis of Nonstationary and Spatially Correlated Faults with Application to Multistation Assembly Systems—0
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
An improved CTGAN for data processing method of imbalanced disk failure—0
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
A Closer Look at Bearing Fault Classification Approaches—0
An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised MethodsCode0
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Benchmark Results

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