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Fault Diagnosis

Papers

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Showing 251–275 of 375 papers

TitleStatusHype
Towards federated multivariate statistical process control (FedMSPC)—0
Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features—0
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features—0
Fault diagnosis for open-circuit faults in NPC inverter based on knowledge-driven and data-driven approaches—0
A Novel Sparse Bayesian Learning and Its Application to Fault Diagnosis for Multistation Assembly Systems—0
Fault Diagnosis for Power Electronics Converters based on Deep Feedforward Network and Wavelet Compression—0
Machine learning-based approach for online fault Diagnosis of Discrete Event System—0
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data—0
Detection of Nonlinear Behavior in Voltage Source Converter Control in Wind Farms Based on Higher-Order Spectral Analysis—0
Automotive Multilingual Fault Diagnosis—0
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System—0
Fault Diagnosis using eXplainable AI: a Transfer Learning-based Approach for Rotating Machinery exploiting Augmented Synthetic Data—0
Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes—0
Improving Convolutional Neural Networks for Fault Diagnosis by Assimilating Global Features—0
Review for AI-based Open-Circuit Faults Diagnosis Methods in Power Electronics Converters—0
System Resilience through Health Monitoring and Reconfiguration—0
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory AlgorithmsCode0
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions—0
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN—0
Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet Synchronous Motors with Current Signal Imaging and Unsupervised Learning—0
Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research—0
T4PdM: a Deep Neural Network based on the Transformer Architecture for Fault Diagnosis of Rotating Machinery—0
Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness—0
A Multi-size Kernel based Adaptive Convolutional Neural Network for Bearing Fault Diagnosis—0
A platform for causal knowledge representation and inference in industrial fault diagnosis based on cubic DUCG—0
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Benchmark Results

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