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Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control

Autor: José Luis Ocaña, Pedro Larrañaga, Concha Bielza, Javier Diaz

Publikováno v: Machine Learning for Cyber Physical Systems ISBN: 9783662488362
ML4CPS
Machine Learning for Cyber Physical Systems | International Conference ML4CPS 2015 | 01-02 oCT 2015 | Lemgo, Alemania
Archivo Digital UPM
instname

Cyber-Physical Systems (CPS) seen from the Industrie 4.0 paradigm are key enablers to give smart capabilities to production machines. However, close loop control strategies based on raw process data need large amounts of computing power, which is exp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ec1be4eb2096d95ff1a1314bc11957e
https://doi.org/10.1007/978-3-662-48838-6_1

Improved heat treatment process control for fuel efficiency and cycle time reduction

Autor: Karnezos, Thomas C.P. Voigt, Robert C.

Thesis (M.S.)--Pennsylvania State University, 2009.
Mode of access: World Wide Web. Thesis advisor: Robert C. Voigt.

Externí odkaz: http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4027/index.html

Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control.

Autor: Diaz, Javier, Bielza, Concha, Ocaña, Jose L., Larrañaga, Pedro

Publikováno v: Machine Learning for Cyber Physical Systems; 2016, p1-8, 8p

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