Diagnosis of machining outcomes based on machine learning with Logical Analysis of Data

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1109/IEOM.2015.7093752
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  1. National Research Council of Canada. Aerospace
FormatText, Article
Conference5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, 3 March 2015 through 5 March 2015
SubjectArtificial intelligence; Carbon; Carbon fiber reinforced plastics; Combinatorial optimization; Failure analysis; Fault detection; Fiber reinforced plastics; Information analysis; Machining; Pattern recognition; Carbon fiber reinforced polymer; CFRP plates; Force and torques; Geometric profile; Logical analysis of data; Machining conditions; Machining Process; Nonconforming products; Quality control
Publication date
Peer reviewedYes
NPARC number21275749
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Record identifier66db3eb9-9b9d-4026-b2a9-0f1aa63334aa
Record created2015-07-14
Record modified2020-04-22
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