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Fault Diagnosis

Papers

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Showing 176–200 of 375 papers

TitleStatusHype
An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-parameter Patterns—0
In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review—0
Integrated Approach of Gearbox Fault Diagnosis—0
Integrated Fault Diagnosis and Control Design for DER Inverters using Machine Learning Methods—0
Integrating LLMs for Explainable Fault Diagnosis in Complex Systems—0
Intelligent Fault Diagnosis of Type and Severity in Low-Frequency, Low Bit-Depth Signals—0
Intelligent fault diagnosis of worm gearbox based on adaptive CNN using amended gorilla troop optimization with quantum gate mutation strategy—0
Co-training partial domain adaptation networks for industrial Fault Diagnosis—0
Generalized Out-of-distribution Fault Diagnosis (GOOFD) via Internal Contrastive Learning—0
Interpretable Event Diagnosis in Water Distribution Networks—0
Interpreting What Typical Fault Signals Look Like via Prototype-matching—0
Joint Observer Gain and Input Design for Asymptotic Active Fault Diagnosis—0
KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks—0
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis—0
LD-RPMNet: Near-Sensor Diagnosis for Railway Point Machines—0
Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids—0
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning—0
Linguistic Ordered Weighted Averaging based deep learning pooling for fault diagnosis in a wastewater treatment plant—0
LLM-based Framework for Bearing Fault Diagnosis—0
Machine Learning-based Anomaly Detection in Optical Fiber Monitoring—0
Machine learning-based approach for online fault Diagnosis of Discrete Event System—0
Model-Agnostic Meta-Learning for Fault Diagnosis of Induction Motors in Data-Scarce Environments with Varying Operating Conditions and Electric Drive Noise—0
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks—0
Intelligent Condition Based Monitoring Techniques for Bearing Fault Diagnosis—0
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research—0
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Benchmark Results

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