SOTAVerified

Fault Diagnosis

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 375 papers

TitleStatusHype
A platform for causal knowledge representation and inference in industrial fault diagnosis based on cubic DUCG—0
Active Foundational Models for Fault Diagnosis of Electrical Motors—0
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications—0
A Novel Transfer Learning Method Utilizing Acoustic and Vibration Signals for Rotating Machinery Fault Diagnosis—0
AIOptimizer - Software performance optimisation prototype for cost minimisation—0
A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings—0
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems—0
AI Explainability for Power Electronics: From a Lipschitz Continuity Perspective—0
A crayfish-optimized wavelet filter and its application to fault diagnosis—0
A Comparative Analysis of Reinforcement Learning and Conventional Deep Learning Approaches for Bearing Fault Diagnosis—0
A Novel Semi-Supervised Data-Driven Method for Chiller Fault Diagnosis with Unlabeled Data—0
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series—0
AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System—0
A Novel Deep Parallel Time-series Relation Network for Fault Diagnosis—0
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
An interpretable deep learning method for bearing fault diagnosis—0
An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation—0
A Heterogeneous Graph-Based Multi-Task Learning for Fault Event Diagnosis in Smart Grid—0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis—0
Canonical Correlation Guided Deep Neural Network—0
An Improved Fault Diagnosis Strategy for Induction Motors Using Weighted Probability Ensemble Deep Learning—0
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis—0
A Cost-Sensitive Deep Belief Network for Imbalanced Classification—0
A Closer Look at Bearing Fault Classification Approaches—0
Show:102550
← PrevPage 4 of 15Next →

Benchmark Results

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