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

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Cover of 'IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency'

Table of Contents

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    Book Overview
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    Chapter 1 Concept and Implementation of a Software Architecture for Unifying Data Transfer in Automated Production Systems
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    Chapter 2 Social Science Contributions to Engineering Projects: Looking Beyond Explicit Knowledge Through the Lenses of Social Theory
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    Chapter 3 Enable learning of Hybrid Timed Automata in Absence of Discrete Events through Self-Organizing Maps
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    Chapter 4 Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps
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    Chapter 5 A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes
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    Chapter 6 Validation of similarity measures for industrial alarm flood analysis?
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    Chapter 7 Concept for Alarm Flood Reduction with Bayesian Networks by Identifying the Root Cause
Attention for Chapter 5: A Sampling-Based Method for Robust and Efficient Fault Detection in Industrial Automation Processes
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