SOTAVerified

Fault Diagnosis

Papers

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Showing 201–250 of 375 papers

TitleStatusHype
A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification—0
Direct Shaping of Minimum and Maximum Singular Values: An H_-/H_ Synthesis Approach for Fault Detection Filters—0
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service SystemsCode1
An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning SystemCode0
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault DiagnosisCode0
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature—0
Non-destructive Fault Diagnosis of Electronic Interconnects by Learning Signal Patterns of Reflection Coefficient in the Frequency Domain—0
Real Time Bearing Fault Diagnosis Based on Convolutional Neural Network and STM32 Microcontroller—0
Multi-scale Fusion Fault Diagnosis Method Based on Two-Dimensionaliztion Sequence in Complex Scenarios—0
Filter-informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault DiagnosisCode1
CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream—0
Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and PrognosisCode0
Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules—0
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids—0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
HUST bearing: a practical dataset for ball bearing fault diagnosis—0
A lightweight network for photovoltaic cell defect detection in electroluminescence images based on neural architecture search and knowledge distillation—0
SCLIFD:Supervised Contrastive Knowledge Distillation for Incremental Fault Diagnosis under Limited Fault Data—0
Simulation-to-reality UAV Fault Diagnosis with Deep Learning—0
Explainable AI for Machine Fault Diagnosis: Understanding Features’ Contribution in Machine Learning Models for Industrial Condition MonitoringCode0
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples—0
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making—0
Similarity-Based Predictive Maintenance Framework for Rotating MachineryCode1
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine LearningCode1
A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster-Shafer Combination Rule *—0
PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis—0
Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach—0
Sensor Placement for Online Fault Diagnosis—0
Data fusion techniques for fault diagnosis of industrial machines: a survey—0
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery—0
A Random Forest and Current Fault Texture Feature-Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR—0
Towards federated multivariate statistical process control (FedMSPC)—0
Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features—0
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features—0
Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches—0
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems—0
Fault Diagnosis for Power Electronics Converters based on Deep Feedforward Network and Wavelet Compression—0
Machine learning-based approach for online fault Diagnosis of Discrete Event System—0
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data—0
Detection of Nonlinear Behavior in Voltage Source Converter Control in Wind Farms Based on Higher-Order Spectral Analysis—0
Automotive Multilingual Fault Diagnosis—0
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System—0
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data—0
Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes—0
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features—0
Review for AI-based Open-Circuit Faults Diagnosis Methods in Power Electronics Converters—0
Deep Feature Selection for Anomaly Detection Based on Pretrained Network and Gaussian Discriminative AnalysisCode1
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault DiagnosisCode1
System Resilience through Health Monitoring and Reconfiguration—0
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Benchmark Results

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