SOTAVerified

Fault Diagnosis

Papers

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Showing 131–140 of 375 papers

TitleStatusHype
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
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Benchmark Results

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