Employing machine learning techniques in monitoring autocorrelated profiles
Employing machine learning techniques in monitoring autocorrelated profiles
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Publisher
London: Springer London
Journal title
Language
English
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Publisher
London: Springer London
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Contents
In profile monitoring, it is usually assumed that the observations between or within each profile are independent of each other. However, this assumption is often violated in manufacturing practice, and it is of utmost importance to carefully consider autocorrelation effects in the underlying models for profile monitoring. For this reason, various...
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Full title
Employing machine learning techniques in monitoring autocorrelated profiles
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TN_cdi_proquest_journals_2836110000
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2836110000
Other Identifiers
ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-023-08483-3
