A Study on the Progress of Transfer Learning in the Field of Mechanical Equipment Fault Diagnosis
Migration learning is an emerging machine learning method,which can solve the problems of different but related domains by applying the learned knowledge,and can solve the problems of weak model generalisation ability and insufficient sample data more effectively.This paper provides an overview of the application of transfer learning in the field of mechanical equipment fault diagnosis,summarises three types of diagnostic prediction methods on transfer learning,and discusses the future research direction of transfer learning in the field of fault diagnosis.
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