IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency : Intelligent Methods for the Factory of the Future

doi:10.1007/978-3-662-57805-6

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https://library.oapen.org/bitstream/20.500.12657/23294/1/1006861.pdf
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Contributor(s)

Niggemann, Oliver (editor)

Schüller, Peter (editor)

Language

English

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Abstract

This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.

URI

https://directory.doabooks.org/handle/20.500.12854/39089

Keywords

Engineering; Quality control; Reliability; Industrial safety; Robotics; Automation; Input-output equipment (Computers); thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering::TGPR Reliability engineering; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications

Publication date and place

Berlin, Heidelberg, 2018

Series

Technologien für die intelligente Automation,

Pages

129

Rights

https://creativecommons.org/licenses/by/4.0

OAPEN harvesting collection

Except where otherwise noted, this item's license is described as open access