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Fault Diagnosis

Papers

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Showing 151–200 of 375 papers

TitleStatusHype
FD-LLM: Large Language Model for Fault Diagnosis of Machines—0
Feature-Weighted MMD-CORAL for Domain Adaptation in Power Transformer Fault Diagnosis—0
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding—0
FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes—0
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning—0
FEMSN: Frequency-Enhanced Multiscale Network for fault diagnosis of rotating machinery under strong noise environments—0
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning—0
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry—0
Finites elements and signal processing analysis of eccentricity and demagnetization faults in PMSM drivetrains: Approach for diagnosis—0
Foundational Models for Fault Diagnosis of Electrical Motors—0
Functional observers with linear error dynamics for discrete-time nonlinear systems, with application to fault diagnosis—0
Gated Recurrent Unit based Autoencoder for Optical Link Fault Diagnosis in Passive Optical Networks—0
Gear fault diagnosis based on Gaussian correlation of vibrations signals and wavelet coefficients—0
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network—0
Granular Ball K-Class Twin Support Vector Classifier—0
Graph neural network-based fault diagnosis: a review—0
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data—0
Grouped Convolutional Neural Networks for Multivariate Time Series—0
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis—0
HUST bearing: a practical dataset for ball bearing fault diagnosis—0
Hybrid modeling: Applications in real-time diagnosis—0
Hybrid Resolver Model Generalization for Fault Condition Modeling: A Promising Tool for Reliability Study—0
iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis—0
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features—0
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
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis—0
Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning—0
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
A BiLSTM-CNN based Multitask Learning Approach for Fiber Fault Diagnosis—0
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions—0
A Closer Look at Bearing Fault Classification Approaches—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
A Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis—0
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Benchmark Results

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