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Fault diagnosis of power equipment based on variational autoencoder and semi-supervised learning.
Bo Ye
Feng Li
Linghao Zhang
Zhengwei Chang
Bin Wang
Xiaoyu Zhang
Sayina Bodanbai
Published in:
Concurr. Comput. Pract. Exp. (2024)
Keyphrases
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semi supervised learning
fault diagnosis
semi supervised
unlabeled data
labeled data
expert systems
dirichlet process mixture models
neural network
supervised learning
fault detection
unsupervised learning
semi supervised classification
machine learning
bp neural network
chemical process
rbf neural network
co training
manifold regularization
multiple faults
monitoring and fault diagnosis
operating conditions
label propagation
power transformers
fuzzy logic
active learning
wind turbine
text classification
training data
image segmentation
multi sensor information fusion
analog circuits
transfer learning
data fusion
graph based semi supervised learning
learning tasks
control system
k means
artificial intelligence
real world