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A Meta-Learning Method for Electric Machine Bearing Fault Diagnosis Under Varying Working Conditions With Limited Data.
Jianjun Chen
Weihao Hu
Di Cao
Zhenyuan Zhang
Zhe Chen
Frede Blaabjerg
Published in:
IEEE Trans. Ind. Informatics (2023)
Keyphrases
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fault diagnosis
test data
meta learning
expert systems
data sets
bp neural network
training data
case study
monitoring and fault diagnosis
chemical process
pairwise
feature set
operating conditions
feature subset
background knowledge
control system
prior knowledge
feature selection
artificial intelligence