Identification of interdependencies and prediction of fault propagation for cyber–physical systems

Koosha Marashi, Sahra Sedigh Sarvestani and Ali R. Hurson

Reliability Engineering and System Safety, 2021, vol. 215, issue C

Abstract: Interdependence is an intrinsic feature of cyber–physical systems. Cyber and physical components are tightly integrated with each other, and hence, a trivial impairment in a part of the system may affect several components, leading to a sequence of failures that collapses the entire system. In this paper, we seek to identify the interdependencies among the components of a cyber–physical system using correlation metrics as well as a heuristic causation analysis method. We also demonstrate applicability of neural networks for prediction of imminent failures given the current system state. The proposed prediction tool can help system operators to perform timely preventive actions and mitigate the consequences of accidental failures and malicious attacks. As a case study, we have analyzed two smart grid test cases based on IEEE power bus systems, namely, IEEE-14 and IEEE-57.

Keywords: Cyber–physical systems; Interdependency; Fault propagation; Correlation and causation; Failure prediction; Neural networks; Smart grid (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:215:y:2021:i:c:s0951832021003112

DOI: 10.1016/j.ress.2021.107787

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