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

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 predictio...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Niggemann, Oliver (Editör), Schüller, Peter (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : 2018.
Imprint: Springer Vieweg,
Edisyon:1st ed. 2018.
Seri Bilgileri:Technologien für die intelligente Automation, Technologies for Intelligent Automation, 8
Konular:
Online Erişim:Full-text access
İçindekiler:
  • Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems
  • Social Science Contributions to Engineering Projects: Looking Beyond Explicit Knowledge Through the Lenses of Social Theory
  • Enable learning of Hybrid Timed Automata in Absence of Discrete Events through Self-Organizing Maps
  • Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps
  • A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes
  • Validation of similarity measures for industrial alarm flood analysis
  • Concept for Alarm Flood Reduction with Bayesian Networks by Identifying the Root Cause.