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...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg
Springer Nature
2018
Berlin, Heidelberg : 2018. |
| Edición: | 1st ed. 2018. |
| Colección: | Technologien für die intelligente Automation, Technologies for Intelligent Automation,
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009430465306719 |
Tabla de Contenidos:
- 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.
