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A Homogeneous Stacking Ensemble Learning Model for Fault Diagnosis of Rotating Machinery with Small Samples

IEEE Sensors Journal(2022)

Cited 12|Views13
Key words
Fault diagnosis,Training,Generative adversarial networks,Machinery,Data models,Stacking,Sensors,Rotating machinery,small samples,fault diagnosis,ACWGAN-GP,homogeneous stacking ensemble learning,argmax multi-class classification,Softmax Regression
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