SOTAVerified

Fault Diagnosis

Papers

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Showing 341–350 of 375 papers

TitleStatusHype
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines—0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery—0
An improved CTGAN for data processing method of imbalanced disk failure—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
An interpretable deep learning method for bearing fault diagnosis—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis—0
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series—0
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Benchmark Results

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