Exhaustiveness of Systems Structures in Model-based Systems Engineering for Mechatronic Systems

Kaiser, Lydia; Bremer, Christian; Dumitrescu, Roman

doi:10.1016/j.protcy.2016.08.055

Cited by 3 publications

(1 citation statement)

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“…The application of Model-Based System Engineering (MBSE) is of gaining for complex system development Cameron and Adsit (2020). MBSE can be defined as formalized application of modeling to support the design, analysis and verification of systems in a model-based context INCOSE (2014); Kaiser et al (2016). The early availability of system models, often in form of modeling languages like SysML, motivated several researchers to explore the applicability of formal methods, e.g.…”

Section: Introductionmentioning

confidence: 99%

Identifying Critical Failure-Propagation in Function Models of Complex Systems

Guillouet¹,

Torres²

2021

Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)

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Complex interconnected systems have high demands on meaningful analysis of the impact of failures on the actual service provision. This includes the study of obvious and high probable events, but also failures that are difficult to anticipate, e.g. due to cascading effects or combined events. This work introduces a framework for failure analysis that enables the exhaustive identification of combined failures with the strongest impact on the functionality of a system. The framework consists of two principal elements: a method for capturing the propagation of failures in complex systems that are represented via function models, and algorithms for solving the identification problem, which is formulated as combinatorial optimization problem. The feasibility of the approach is verified at hand of a function model of an Offshore Wind Farm (OWF). Both algorithms are then applied to the model of an offshore wind farm in order to identify the failure combinations with the strongest impact on the functionality.

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Section: Introductionmentioning

confidence: 99%