<i>Steam and the Marine Steam Engine</i>
            . By John Yeo. London and New York, Macmillan &amp; Co. Illustrated. 105 Engravings. Pp. xiv, 196. 8vo. $2.50.

Thurston, R. H.

doi:10.1126/science.1.12.328

Cited by 1 publication

(1 citation statement)

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“…Within the context of system failures, harmful emergent system behaviors have been observed in engineered systems for many decades. 6 Over time, more simple-to-understand emergent system behaviors have been corrected for and are no longer a significant issue. 7 However, efforts to systematically understand the underlying causes of the emergent behaviors and design systems to minimize the potential for harm have only been undertaken in the last few decades.…”

Section: Introductionmentioning

confidence: 99%

A method of identifying and analyzing irrational system behavior in a system of systems

Bossuyt

O’Halloran

Arlitt

2019

Systems Engineering

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System of interest (SoI) failures can sometimes be traced to an unexpected behavior occurring within another system that is a member of the system of systems (SoS) with the SoI. This article presents a method for use when designing an SoI that helps to analyze an SoS for unexpected behaviors from existing SoS members during the SoI's conceptual functional modeling phase of system architecture. The concept of irrationality initiators—unanticipated or unexpected failure flows emitted from one system that adversely impact an SoI, which appear to be impossible or irrational to engineers developing the new system—is introduced and implemented in a quantitative risk analysis method. The method is implemented in the failure flow identification and propagation framework to yield a probability distribution of failure paths through an SoI in the SoS. An example of a network of autonomous vehicles operating in a partially denied environment is presented to demonstrate the method. The method presented in this paper allows practitioners to more easily identify potential failure paths and prioritize fixing vulnerabilities in an SoI during functional modeling when significant changes can still be made with minimal impact to cost and schedule.

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Section: Introductionmentioning

confidence: 99%