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

✍ Scribed by Oliver Niggemann, Peter Schüller

Publisher: Springer Berlin Heidelberg;Springer Vieweg
Year: 2018
Tongue: English
Leaves: 132
Series: Technologien für die intelligente Automation 8
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages I-VII
Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems (Emanuel Trunzer, Simon Lötzerich, Birgit Vogel-Heuser)....Pages 1-17
Social Science Contributions to Engineering Projects: Looking Beyond Explicit Knowledge Through the Lenses of Social Theory (Peter Müller, Jan-Hendrik Passoth)....Pages 19-36
Enable learning of Hybrid Timed Automata in Absence of Discrete Events through Self-Organizing Maps (Alexander von Birgelen, Oliver Niggemann)....Pages 37-54
Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps (Alexander von Birgelen, Oliver Niggemann)....Pages 55-71
A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes (Stefan Windmann, Oliver Niggemann)....Pages 73-91
Validation of similarity measures for industrial alarm flood analysis? (Marta Fullen, Peter Schüller, Oliver Niggemann)....Pages 93-109
Concept for Alarm Flood Reduction with Bayesian Networks by Identifying the Root Cause (Paul Wunderlich, Oliver Niggemann)....Pages 111-129

✦ Subjects

Engineering; Quality Control, Reliability, Safety and Risk; Robotics and Automation; Input/Output and Data Communications

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