Impact of Reliability in Conceptual Design—An Illustrative Trade-Off Analysis

Barker, Tevari; Parnell, Gregory S.; Pohl, Edward A.; Specking, Eric; Goerger, Simon R.; Buchanan, Randy K.

doi:10.3390/systems10060227

Cited by 5 publications

(3 citation statements)

References 49 publications

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“…As the preceding discussion described, applying a model-based and coupled simulation approach to reliability analysis enables a rigorous and data-based assessment earlier in the system architecture lifecycle than traditional methods. And, in contrast to the function-based approaches collected by Barker et al (2022), the coupled simulation methodology leverages existing system definitionsthe model-based architectureand provides flexibility to assess systems at both the functional and physical layers of abstraction. This is achieved via the flexibility of the ModelCenter simulation broker, which can link detailed simulation elements, like the hazard functions used in this example, or more generic function probabilities such as those proposed by methods in Barker et al…”

Section: System Reliability Simulation Resultsmentioning

confidence: 99%

“…However, difficulty exists in their application early in system design due to a failure-based perspective, which requires detailed element definition to identify possible system and element faults (Kurtoglu & Tumer 2008). To address this shortcoming, alternative approaches using a function-based perspective are proposed, with Barker et al (2022) providing a comprehensive literature summary. The function-based methods proposed and cited by Barker, including those of Kurtoglu and Tumer, Short et al (2018), Jing et al (2020), andAugustine et al (2012), quantify system reliability in terms of the functions, or behaviors, the elements provide.…”

Section: Series System (E1)mentioning

confidence: 99%

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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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Section: System Reliability Simulation Resultsmentioning

confidence: 99%

Section: Series System (E1)mentioning

confidence: 99%

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

Ross

2023

INCOSE International Symp

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“…However, designing a system that meets reliability requirements is an iterative optimization process that requires the cooperation of the system design specialist and reliability specialist [31,32], see Figure 1. Specifically, after the system design specialist completes the functional design, the reliability specialist needs to build a system reliability model based on the system function architecture and perform a reliability evaluation.…”

Section: System Reliability Optimization Processmentioning

confidence: 99%

A Three-State Space Modeling Method for Aircraft System Reliability Design

Wang,

Feng

et al. 2023

Machines

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Reliability is an inherent attribute of a system through optimal system design. However, during the aircraft system development process, the reliability evaluation and system function design efforts are often disconnected, leading to a divide between reliability experts and system designers in their work schedule. This disconnect results in an inefficient aircraft system reliability optimization process, known as the “two-skin” phenomenon. To address this issue, a three-state space model is proposed. Firstly, an analysis was conducted on the relationship between the system function architecture developed by the system designers and the reliability evaluation performed by the reliability experts. Secondly, based on the principle of function flow, the state of failure was categorized into “physical failure” and “non-physical failure”. Additionally, a new state of “function loss” was introduced as the third state for the system, in addition to the traditional states of “normal” and “faulty”. Thirdly, through the state of “Function loss”, an effective integration of system fault modes and function modes was achieved, leading to an optimized system reliability model. A three-state space modeling method was then developed by transforming the system function architecture into a system reliability model. Finally, this new model was applied to an aircraft’s rudder and fly-by-wire control system. The results demonstrate that the function architecture at the design stage of the system can be accurately transformed into the new three-state space model. The structure aligns closely with the function architecture and can be effectively utilized in quantitative system reliability calculations. In this way, the process of ensuring system reliability can be seamlessly integrated into the system optimization design process. This integration alleviates the issue of disjointed work between reliability experts and system designers, leading to a more streamlined and efficient aircraft system optimization process.

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The Development of the Integrated System Failure Analysis and Its Applications

Smidts,

Diao

2024

Risk, Reliability and Safety Engineering

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Impact of Reliability in Conceptual Design—An Illustrative Trade-Off Analysis

Cited by 5 publications

References 49 publications

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

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

A Three-State Space Modeling Method for Aircraft System Reliability Design

The Development of the Integrated System Failure Analysis and Its Applications

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