Metacognitive Learning Approach for Online Tool Condition Monitoring
Metacognitive Learning Approach for Online Tool Condition Monitoring
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
As manufacturing processes become increasingly automated, so should tool condition monitoring (TCM) as it is impractical to have human workers monitor the state of the tools continuously. Tool condition is crucial to ensure the good quality of products: Worn tools affect not only the surface quality but also the dimensional accuracy, which means hi...
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Full title
Metacognitive Learning Approach for Online Tool Condition Monitoring
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TN_cdi_proquest_journals_2071306392
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2071306392
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1705.02477
