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Fault Diagnosis

Papers

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Showing 301–350 of 375 papers

TitleStatusHype
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
A New Approach for Verification of Delay Coobservability of Discrete-Event Systems—0
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks—0
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples—0
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis—0
Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction—0
Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm—0
Deep Metric Learning Model for Imbalanced Fault Diagnosis—0
Functional observers with linear error dynamics for discrete-time nonlinear systems, with application to fault diagnosis—0
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions—0
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis—0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
Deep learning for diagnosis and classification of faults in industrial rotating machinery—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
Process monitoring based on orthogonal locality preserving projection with maximum likelihood estimation—0
Finites elements and signal processing analysis of eccentricity and demagnetization faults in PMSM drivetrains: Approach for diagnosis—0
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data—0
Fault diagnosis for linear heterodirectional hyperbolic ODE-PDE systems using backstepping-based trajectory planning—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis—0
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing—0
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis—0
Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning—0
Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations:—0
Real-Time Fault Detection and Process Control Based on Multi-channel Sensor Data Fusion—0
Neuromorphic AI Empowered Root Cause Analysis of Faults in Emerging Networks—0
Review of data analysis in vision inspection of power lines with an in-depth discussion of deep learning technology—0
Hybrid modeling: Applications in real-time diagnosis—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems—0
Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans—0
Neural Architecture Search For Fault Diagnosis—0
A comprehensive review on convolutional neural network in machine fault diagnosis—0
iDCR: Improved Dempster Combination Rule for Multisensor Fault Diagnosis—0
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative StudyCode0
Intelligent Condition Based Monitoring Techniques for Bearing Fault Diagnosis—0
Deep Prototypical Networks Based Domain Adaptation for Fault Diagnosis—0
Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders—0
Fault-Diagnosing SLAM for Varying Scale Change Detection—0
End-to-End CNN+LSTM Deep Learning Approach for Bearing Fault Diagnosis—0
Limited Data Rolling Bearing Fault Diagnosis with Few-shot LearningCode0
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines—0
Deep Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples—0
Fault Diagnosis of Rotary Machines using Deep Convolutional Neural Network with three axis signal input—0
Domain Adaptive Transfer Learning for Fault Diagnosis—0
Factor Analysis in Fault Diagnostics Using Random Forest—0
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Benchmark Results

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