In:
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future, Springer Vieweg
Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps
Alexander von Birgelen und Oliver Niggemann,Aug 2018
Literatur Beschaffung:
IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future, Springer Vieweg
Bibtex: Download Bibtex
@inproceedings{740,
}
author | = | {von Birgelen, Alexander and Niggemann, Oliver}, |
title | = | {Anomaly Detection and Localization for Cyber-Physical Production Systems with Self-Organizing Maps}, |
booktitle | = | {IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency: Intelligent Methods for the Factory of the Future}, |
year | = | {2018}, |
editor | = | {}, |
volume | = | {}, |
series | = | {}, |
pages | = | {55-71}, |
address | = | {}, |
month | = | {Aug}, |
organisation | = | {}, |
publisher | = | {Springer Vieweg}, |
note | = | {}, |