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Fault Diagnosis

Papers

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Showing 101–150 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
Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery—0
Fault Detection and Tolerant Control for Aero2 2D0F Two-rotor Helicopter—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
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making—0
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy—0
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
Automatic Channel Fault Detection and Diagnosis System for a Small Animal APD-Based Digital PET Scanner—0
An alternative paradigm of fault diagnosis in dynamic systems: orthogonal projection-based methods—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
An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals—0
ABIGX: A Unified Framework for eXplainable Fault Detection and Classification—0
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing—0
A Survey on Failure Analysis and Fault Injection in AI Systems—0
Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes—0
A Survey on Data-Driven Fault Diagnostic Techniques for Marine Diesel Engines—0
An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis—0
Exploring Global and Local Information for Anomaly Detection with Normal Samples—0
Energy-Efficient Classification for Anomaly Detection: The Wireless Channel as a Helper—0
End-to-End CNN+LSTM Deep Learning Approach for Bearing Fault Diagnosis—0
A study on fault diagnosis in nonlinear dynamic systems with uncertainties—0
Efficient Fault Diagnosis in Lithium-Ion Battery Packs: A Structural Approach with Moving Horizon Estimation—0
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT—0
Enhancing Fault Detection and Isolation in an All-Electric Auxiliary Power Unit (APU) Gas Generator by Utilizing Starter/Generator Signal—0
Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis—0
Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty—0
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations—0
A Composite Fault Diagnosis Model for NPPs Based on Bayesian-EfficientNet Module—0
Explainable AI for Multivariate Time Series Pattern Exploration: Latent Space Visual Analytics with Temporal Fusion Transformer and Variational Autoencoders in Power Grid Event Diagnosis—0
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring—0
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Benchmark Results

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