Conceptual design of sacrificial sub-systems: failure flow decision functions

Short, Ada-Rhodes; Lai, Ann D.; Bossuyt, Douglas L. Van

doi:10.1007/s00163-017-0258-3

Cited by 12 publications

(18 citation statements)

References 24 publications

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“…This may help to identify “worst case scenarios” where completely unanticipated emergent system behaviors occur due to the SoI receiving several irrationality initiators at once. Recent research on external initiating events for autonomous robotic systems has indicated that unique emergent system behaviors not predicted by other research methods can be caused by several external initiating events simultaneously occurring and interacting with one another inside of an SoI …”

Section: Methodsmentioning

confidence: 99%

“…Redundant systems and subsystems can be added to provide higher reliability. Sacrificial subsystems or systems can be added to route failure flows caused by irrationality initiators to a location where they can do the least harm. Robustness and resilience of the SoI can be improved to better deal with inputs to the SoI that go beyond the design basis of the SoI.…”

Section: Methodsmentioning

confidence: 99%

“…In the FFIP family of methods, initiating events are developed in a similar way to initiating events in PRA, which leads to unexpected or unpredicted initiating events often not being considered. The FFIP family of methods produces cut‐sets similar to those developed by PRA and handles truncation of analysis in a similar manner …”

Section: Background and Related Workmentioning

confidence: 99%

“…53 A significant body of research has been developed to understand unanticipated or unpredicted system behaviors [54][55][56] and address such system behaviors through increasing system robustness and resiliency to both external and internal failure initiating events. [57][58][59] However, we have found scant evidence of work being done to understand unexpected or unpredicted system behavior within the context of an SoS.…”

Section: Background and Related Workmentioning

confidence: 99%

“…The FFIP family of methods produces cut-sets similar to those developed by PRA and handles truncation of analysis in a similar manner. 59 Nan…”

Section: Background and Related Workmentioning

confidence: 99%

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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: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

“…The FFIP family of methods produces cut-sets similar to those developed by PRA and handles truncation of analysis in a similar manner. 59 Nan…”

Section: Background and Related Workmentioning

confidence: 99%

See 3 more Smart Citations

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

Bossuyt

O’Halloran

Arlitt

2019

Systems Engineering

Self Cite

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Integrating Reliability in Conceptual Design Trade‐Off Analysis: A look at the Literature

Barker

Parnell

Pohl

2022

INCOSE International Symp

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This research focuses on developing models to estimate the system reliability of Unmanned Ground Vehicles using knowledge and data from similar systems. Reliability is often a stand‐alone requirement and not always fully included in performance and life cycle cost models. Traditional reliability approaches require detailed knowledge of a system and are used in later design sta ges as well as development, operational test and evaluation, and operations. The critical role of reliability and its impact on acquisition program performance, cost, and schedule motivates the need for improved system reliability models in the early design stages. This research seeks to integrate reliability, performance, and cost models in a trade‐off analysis framework in the early acquisition stages. This research uses functional analysis methods to estimate reliability Pre‐Milestone A and assess the impact of reliability on performance and cost models of early system concepts. This research us es technology readiness level (TRL), which is indexed, to assess different levels of reliability for design. An integrated cost and performance model will inform decision ‐makers on the impact of reliability before choosing a system concept for further development.

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Complex System Reliability Analysis using a Model‐Based Shared Systems Simulation

Ross

2023

INCOSE International Symp

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The continued growth of system complexity is challenging traditional qualitative, heuristics‐based approaches to architecting system emergence. As these emergent attributes are products of the architecture and established early in the system development lifecycle, where ambiguity is most pronounced, a shift to a model‐based approach is viewed as essential to understanding system interdependencies and the impacts of tradeoff decisions. This paper discusses how model‐based systems engineering methods and a coupled architecture‐simulation can be used to model system reliability. Employing a probabilistic model of system element failure, the coupled simulation is shown to predict system reliability for various architecture configurations early in the system design process. The advantages this quantitative system performance assessment provide to stakeholder decision‐making are reviewed, and the simulation model is extended to demonstrate how the complexity‐resilience tradeoff can impact system reliability.

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Conceptual design of sacrificial sub-systems: failure flow decision functions

Cited by 12 publications

References 24 publications

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

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

Integrating Reliability in Conceptual Design Trade‐Off Analysis: A look at the Literature

Complex System Reliability Analysis using a Model‐Based Shared Systems Simulation

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