SOTAVerified

Fault Diagnosis

Papers

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Showing 126–150 of 375 papers

TitleStatusHype
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
A fault detection scheme for PV panels in large scale PV stations with complex installation conditions—0
Boosting-inspired online learning with transfer for railway maintenance—0
Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and Professional Services—0
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
Bearing fault diagnosis based on spectrum images of vibration signals—0
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy—0
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition—0
Bearing fault diagnosis based on multi-scale spectral images and convolutional neural network—0
Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
Backdoors to Abduction—0
A WT-ResNet based fault diagnosis model for the urban rail train transmission system—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—0
A comprehensive review on convolutional neural network in machine fault diagnosis—0
Automotive Multilingual Fault Diagnosis—0
Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN—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
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Benchmark Results

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