Towards a State Explanation Framework in Cyber-Physical Systems

The concept of Explainable Cyber-Physical Systems (ExpCPSs) aims to provide clear explanations for system decisions and actions, which is crucial for understanding, managing, and controlling high-risk Cyber-Physical Systems (CPSs), such as intelligent energy distribution networks or Smart Grids (SGs). Existing approaches for ExpCPSs, however, are typically designed only for specific application areas, limiting their impact. This paper proposes a domain-independent framework for automatically generating system state explanations in a CPS through (i) a unified data model and (ii) novel explanation algorithms to improve systems transparency, interpretability, and trustworthiness. The proposed framework facilitates root cause analysis on CPSs independently of their domains, enabling users to query system states and receive comprehensive explanations. We evaluated our solution in a real-world Electric Vehicle (EV) charging garage use case, highlighting its feasibility and effectiveness.

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Publication Details

Journal
ACM SIGEnergy Energy Informatics Review
Published
2024-10-01
DOI
https://doi.org/10.1145/3717413.3717426
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.33
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Towards a State Explanation Framework in Cyber-Physical Systems

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article

Towards a State Explanation Framework in Cyber-Physical Systems

Marta Sabou, Daniel Hauer, Fajar J. Ekaputra, Gernot Steindl, Konrad Diwold, Thomas Frühwirth, Tobias Schwarzinger, Katrin Schreiberhuber
article en
1 citations

Abstract

The concept of Explainable Cyber-Physical Systems (ExpCPSs) aims to provide clear explanations for system decisions and actions, which is crucial for understanding, managing, and controlling high-risk Cyber-Physical Systems (CPSs), such as intelligent energy distribution networks or Smart Grids (SGs). Existing approaches for ExpCPSs, however, are typically designed only for specific application areas, limiting their impact. This paper proposes a domain-independent framework for automatically generating system state explanations in a CPS through (i) a unified data model and (ii) novel explanation algorithms to improve systems transparency, interpretability, and trustworthiness. The proposed framework facilitates root cause analysis on CPSs independently of their domains, enabling users to query system states and receive comprehensive explanations. We evaluated our solution in a real-world Electric Vehicle (EV) charging garage use case, highlighting its feasibility and effectiveness.

ACM SIGEnergy Energy Informatics ReviewVol. 4(4)
Vienna University of Economics and Business (AT), TU Wien (AT), Siemens (Austria) (AT)
Openalex Percentile: Top 37%
Smart Grid Security and Resilience
0.33
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