SOTAVerified

Fault Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 375 papers

TitleStatusHype
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
An improved CTGAN for data processing method of imbalanced disk failure—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN—0
Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment—0
System Resilience through Health Monitoring and Reconfiguration—0
T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery—0
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis—0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry—0
TelApart: Differentiating Network Faults from Customer-Premise Faults in Cable Broadband Networks—0
The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study—0
Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks—0
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature—0
Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm—0
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation—0
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer—0
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks—0
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring—0
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Benchmark Results

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