Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring

In-situ tool condition monitoring ( in-situ TCM) is vital for metal removal manufacturing which realizes on-machine diagnosis in a real-time manner. The limitation of in-situ TCM based on traditional deep learning lies in several aspects: the requirement of sufficient labeled data of health conditio...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 69; H. 9; S. 9483 - 9493
Hauptverfasser:	Liu, Yuekai, Yu, Yaoxiang, Guo, Liang, Gao, Hongli, Tan, Yongwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Automatic architecture construction Biological cells Computer architecture Condition monitoring Deep learning Design Edge computing genetic algorithm (GA) Genetic algorithms in-situ tool condition monitoring (TCM) Machine learning Milling cutters network-based transfer learning Sociology Statistics Surface layers Task analysis Tuning
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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