SOTAVerified

Fault Diagnosis

Papers

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Showing 76–100 of 375 papers

TitleStatusHype
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
A comprehensive review on convolutional neural network in machine fault diagnosis—0
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition—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
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks—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
Bearing Fault Diagnosis using Graph Sampling and Aggregation Network—0
An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data—0
Backdoors to Abduction—0
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach—0
Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features—0
Boosting-inspired online learning with transfer for railway maintenance—0
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities—0
CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream—0
A WT-ResNet based fault diagnosis model for the urban rail train transmission system—0
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?—0
Canonical Correlation Guided Deep Neural Network—0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
Consultation on Industrial Machine Faults with Large language Models—0
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Benchmark Results

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