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

DOIResolve DOI: http://doi.org/10.1109/IEOM.2015.7093752
AuthorSearch for: ; Search for: ; Search for: ; Search for: ; Search for:
TypeArticle
Proceedings titleIEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding
Conference5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, 3 March 2015 through 5 March 2015
ISBN9781479960651
Article number7093752
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
Abstract
Publication date
PublisherIEEE
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); Aerospace
Peer reviewedYes
NPARC number21275749
Export citationExport as RIS
Report a correctionReport a correction
Record identifier66db3eb9-9b9d-4026-b2a9-0f1aa63334aa
Record created2015-07-14
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
Date modified: