A data-driven method based on deep belief networks for backlash error prediction in machining center...
A data-driven method based on deep belief networks for backlash error prediction in machining centers
About this item
Full title
Author / Creator
Li, Zhe , Wang, Yi and Wang, Kesheng
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Backlash error occurs in a machining center may lead to a series of changes in the geometry of the components and subsequently deteriorate the overall performance of the equipment. Due to the uncertainty of mechanical wear between kinematic pairs, it is challenging to predict backlash error through physical models directly. An alternative method is...
Alternative Titles
Full title
A data-driven method based on deep belief networks for backlash error prediction in machining centers
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_1978528202
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1978528202
Other Identifiers
ISSN
0956-5515
E-ISSN
1572-8145
DOI
10.1007/s10845-017-1380-9
