Monitoring and diagnosis of AI-system for manufacturing

Beschreibung des Dienstes

The goal is to analyze system execution logs to monitor properties, identify faults and their root causes. Monitor synthesized from requirements, anomaly detection, RUL prediction, also for predictive maintenance. Specific domains of interest will be Transport systems and infrastructure, Production systems, Energy systems used in manufacturing contexts.
Erwartete Ergebnisse: AI-based solution able to: 1) Monitor properties or faults 2) Predict failures or estimate unobservable parameters 3) Identify root causes
Die Methodik: Integration of data-driven and model-based techniques.
Ziel: ‚- Producers of cyber-physical systems interested in validating their products\n – Manufacturers interested in monitoring the production process\n – Computer-based component providers interested in enhancing the product with diagnostic capabilities\n – I-based software for manufacturing providers interested in expanding their portfolio of services

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