Publication:
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency

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datacite.subject.fos oecd::Engineering and technology
dc.contributor.author Oliver Niggemann, Peter Schüller (editors)
dc.date.accessioned 2023-06-15T03:51:40Z
dc.date.available 2023-06-15T03:51:40Z
dc.date.issued 2018
dc.description DOI: https://doi.org/10.1007/978-3-662-57805-6 License: CC BY; Publisher: Springer
dc.description.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. This work is licensed under a CC BY
dc.identifier.doi https://doi.org/10.1007/978-3-662-57805-6
dc.identifier.isbn 9783662578056
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/5359
dc.language.iso en
dc.subject "Factory Automation
dc.subject Machine reliability and efficiency
dc.subject Cyber-physical systems
dc.subject Machine Learning
dc.subject Simulation & optimization
dc.subject Condition monitoring
dc.subject Alarm management
dc.subject Quality prediction
dc.subject Lean Engineering
dc.subject Open Access
dc.subject quality control
dc.subject reliability
dc.subject safety and risk"
dc.title IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency
dc.type Resource Types::text::book
dspace.entity.type Publication
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
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