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Fault Diagnosis

Papers

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Showing 101–125 of 375 papers

TitleStatusHype
EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis EnvironmentsCode0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis—0
COKE: Causal Discovery with Chronological Order and Expert Knowledge in High Proportion of Missing Manufacturing DataCode0
Fault Diagnosis in Power Grids with Large Language Model—0
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisCode1
A Survey on Failure Analysis and Fault Injection in AI Systems—0
Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial DataCode1
Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuationsCode1
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data—0
Joint Observer Gain and Input Design for Asymptotic Active Fault Diagnosis—0
DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningCode1
A WT-ResNet based fault diagnosis model for the urban rail train transmission system—0
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy—0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data—0
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry—0
Data-driven Machinery Fault Detection: A Comprehensive Review—0
Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of BearingCode2
Fault Identification Enhancement with Reinforcement Learning (FIERL)Code0
TFPred: Learning Discriminative Representations from Unlabeled Data for Few-Label Rotating Machinery Fault DiagnosisCode2
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network—0
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review—0
A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines—0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noiseCode2
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Benchmark Results

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