SOTAVerified

Fault Diagnosis

Papers

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Showing 221–230 of 375 papers

TitleStatusHype
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples—0
A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring—0
An Adaptive feature mode decomposition based on a novel health indicator for bearing fault diagnosis—0
An AI-Driven Approach to Wind Turbine Bearing Fault Diagnosis from Acoustic Signals—0
An alternative paradigm of fault diagnosis in dynamic systems: orthogonal projection-based methods—0
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
An End-to-End Comprehensive Gear Fault Diagnosis Method Based on Multi-Scale Feature-Level Fusion Strategy—0
A new framework of sensor selection for developing a fault detection system based on data-envelopment analysis—0
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Benchmark Results

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