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A Novel Supervised Filter Feature Selection Method Based on Gaussian Probability Density for Fault Diagnosis of Permanent Magnet DC Motors.
Weihao Wang
Lixin Lu
Wang Wei
Published in:
Sensors (2022)
Keyphrases
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fault diagnosis
probability density
feature selection
bp neural network
rbf neural network
density estimation
dc motor
neural network
feature extraction
density function
real time
machine learning
model selection
steady state
gaussian mixture