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Fault Diagnosis

Papers

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Showing 101–125 of 375 papers

TitleStatusHype
An interpretable deep learning method for bearing fault diagnosis—0
A Closer Look at Bearing Fault Classification Approaches—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation—0
Consultation on Industrial Machine Faults with Large language Models—0
Contrastive Multi-Modal Representation Learning for Spark Plug Fault Diagnosis—0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers—0
Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features—0
Data-driven Machinery Fault Detection: A Comprehensive Review—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems—0
Data-Folding and Hyperspace Coding for Multi-Dimensonal Time-Series Data Imaging—0
Data fusion techniques for fault diagnosis of industrial machines: a survey—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Decimation analysis in the signal processing of current to detect broken bars in induction machine—0
Deep Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples—0
Digital Twin-based Out-of-Distribution Detection in Autonomous Vessels—0
Direct Shaping of Minimum and Maximum Singular Values: An H_-/H_ Synthesis Approach for Fault Detection Filters—0
Automotive Multilingual Fault Diagnosis—0
Deep Prototypical Networks Based Domain Adaptation for Fault Diagnosis—0
Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data—0
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application—0
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN—0
Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations:—0
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
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Benchmark Results

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