From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine

Chuan Li, Diego Cabrera, Fernando Sancho, Mariela Cerrada, René Vinicio Sánchez, Edgar Estupinan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)357-367
Number of pages11
JournalISA Transactions
Volume110
DOIs
StateAccepted/In press - 2020

Bibliographical note

Funding Information:
Acknowledgments: The work was sponsored in part by GIDTEC Research Group of Universidad Politécnica Salesiana, the National Natural Science Foundation of China ( 51775112 ), the MoST Science and Technology Partnership Program ( KY201802006 ), the Key Project of the Chongqing Natural Science Foundation ( cstc2019jcyj-zdxmX0013 ), and the CTBU Open Project ( KFJJ2019059 )

Publisher Copyright:
© 2020 ISA

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • 3D printer
  • Bidirectional generative adversarial network
  • Fault detection
  • One-class support vector machine
  • Severity discrimination

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