Lifecycle Governance for Effective Digital Twins: A Joint Systems Engineering and IT Perspective

Digital twins run concurrently with the assets and systems they mirror. They offer real-time execution of advanced control schemes, e.g., for smart buildings, but also various analysis tasks, e.g., for predictive maintenance that ensures resilience. In this, they need to cope with change: The physical twins they mirror operate in a highly...

Fleet-based System Health Assessment: Reasoning about Change and Differences

Monitoring and managing the health of technical systems with advanced diagnosis and prognosis benefits from fleet analytics: insights on the degradation of other but similar systems help, e.g., to forecast actual issues for predictive maintenance as does detecting and correcting anomalies in usage profiles helps to prevent undue wear and tear....

Digital twin strategies for SoS: 4 challenges and 4 architecture setups for digital twins of SoS

Cyber physical systems of systems operate on and with machine-generated data that form the foundation of many of their information-centric functions and processes. Especially within infrastructure systems of systems and the applications of the internet of things, data became an asset for additional tasks regarding their efficient and effective...

Probabilistic Health and Mission Readiness Assessment at System-Level

Predictive maintenance strategies which estimate remaining useful life of system components ensure reliable availability of assets and low total costs of ownership by preventing breakdowns and down-times with timely and well-scheduled maintenance. The focus on the components’ life times falls short, however, to infer the system-level capability...

Engineering the Smarts: An Illustration of the Disconnect between Control Engineering and AI

The design and analysis of smart system behavior needs to bridge between worlds – both with regard to engineering methods and to the technologies central to adaptivity and thus a

Probabilistic System Summaries for Behavior Architecting

Smart system of systems adapt to their context, current situation, and configuration. To engineer such systems’ behavior, we need to design and eval-uate system-level control strategies and the intelligent management of key scenarios. We propose a model-based approach called probabilistic system summaries to explore related design choices, e.g.,...

On the Architecture of Systems for Situation Awareness

Architectures for situation awareness systems originate from two main concerns: a functional view on the information processing that stems from domain experts’ understanding of their tasks and resources, and a system architect’s view on non-functional aspects of the operations that form such functionality within a system-of-systems realization....