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,
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 | = | {}, |