Function-based failure propagation for conceptual design

Krus, Daniel; Lough, Katie Grantham

doi:10.1017/s0890060409000158

Cited by 13 publications

(10 citation statements)

References 13 publications

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“…The specific solution steps are as follows. For function failures and propagation problems, Krus and Grantham [40] analyzed the propagation of failures through function failure chains to improve design defects; Kurtoglu et al [41] proposed an FFIP (function failure propagation mode) to analyze the three elements of functional modeling, behavior simulation and failure reasoning; Wang et al [42] proposed a failure propagation path search approach for electromechanical systems; Mehrpouyan et al [43] introduced an MFIP (model-based failure identification and propagation) framework in avionics systems to identify security issues caused by environmental disturbances and subsystem failures.…”

Section: Conceptual Design Failure Risk Analysismentioning

confidence: 99%

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Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Jing

Sun

et al. 2020

Sustainability

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Reliability is a major performance index in the electromechanical product conceptual design decision process. As the function is the purpose of product design, the risk of scheme design is easy to be caused when there is a failure (i.e., function failure). However, existing reliability analysis models focus on the failure analysis of functions but ignore the quantitative risk assessment of conceptual schemes when function failures occur. In addition, design information with subjectivity and fuzziness is difficult to introduce the risk index into the early design stage for comprehensive decisions. To fill this gap, this paper proposes a conceptual scheme decision model for mechatronic products driven by the risk of function failure propagation. Firstly, the function structure model is used to construct the function fault propagation model, so as to obtain the influence degree of the subfunction failure. Secondly, the principle solution weight is calculated when the function failure is propagated, and the influence degree of the failure mode is integrated to obtain the severity of the failure mode on the product system. Thirdly, the risk value of failure mode is calculated by multiplying the severity and failure probability of failure mode, and the risk value of the scheme is obtained based on the influence relationship between failure modes. Finally, the VIKOR (Višekriterijumska Optimizacija i kompromisno Rešenje) method is used to make the optimal decision for the conceptual scheme, and then take the cutting speed regulating device scheme of shearer as an example to verify the effectiveness and feasibility of the proposed decision model.

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Section: Conceptual Design Failure Risk Analysismentioning

confidence: 99%

“…Step D2: Calculate the maximum group benefit S r and the maximum individual regret R r , as shown in Equations (39) and (40).…”

Section: The Optimal Scheme Decision Based On Vikor Model With Considmentioning

confidence: 99%

Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Jing

Sun

et al. 2020

Sustainability

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“…Approaches have additionally been presented which associate the functional model as a fault tree [13] [14]. Other methods have been created to focus on the propagation of failures through a functional model [15]. Inherent Behavior of Functional Models (IBFM), which is used in this paper, provided a method to automate the creation of a state-based behavior model from the functional model itself [16].…”

Section: Prior Workmentioning

confidence: 99%

Optimizing Function-Based Fault Propagation Model Resilience Using Expected Cost Scoring

Hulse

Hoyle

Goebel

et al. 2018

Volume 2A: 44th Design Automation Conference

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Complex engineered systems are often associated with risk due to high failure consequences, high complexity, and large investments. As a result, it is desirable for complex engineered systems to be resilient such that they can avoid or quickly recover from faults. Ideally, this should be done at the early design stage where designers are most able to explore a large space of concepts. Previous work has shown that functional models can be used to predict fault propagation behavior and motivate design work. However, little has been done to formally optimize a design based on these predictions, partially because the effects of these models have not been quantified into an objective function to optimize. This work introduces a scoring function which integrates with a fault scenario-based simulation to enable the risk-neutral optimization of functional model resilience. This scoring function accomplishes this by resolving the tradeoffs between the design costs, operating costs, and modeled fault response of a given design in a way that may be parameterized in terms of designer-specified resilient features. This scoring function is adapted and applied to the optimization of controlling functions which recover flows in a monopropellant orbiter. In this case study, an evolutionary algorithm is found to find the optimal logic for these functions, showing an improvement over a typical a-priori guess by exploring a large range of solutions, demonstrating the value of the approach.

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“…Inherent behavior of functional models (IBFM), which is used in this paper, provided a method to automate the creation of a state-based behavior model from the functional model itself [33]. Approaches have additionally been presented, which associate the functional model with a fault tree [34][35][36], and other methods have been created to focus on the propagation of failures through a functional model [37].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Resilience-Informed Scenario Cost Sum: A Value-Driven Design Approach for Functional Hazard Assessment

Hulse

Hoyle

Goebel

et al. 2018

Journal of Mechanical Design

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Complex engineered systems can carry risk of high failure consequences, and as a result, resilience—the ability to avoid or quickly recover from faults—is desirable. Ideally, resilience should be designed-in as early in the design process as possible so that designers can best leverage the ability to explore the design space. Toward this end, previous work has developed functional modeling languages which represent the functions which must be performed by a system and function-based fault modeling frameworks have been developed to predict the resulting fault propagation behavior of a given functional model. However, little has been done to formally optimize or compare designs based on these predictions, partially because the effects of these models have not been quantified into an objective function to optimize. The work described herein closes this gap by introducing the resilience-informed scenario cost sum (RISCS), a scoring function which integrates with a fault scenario-based simulation, to enable the optimization and evaluation of functional model resilience. The scoring function accomplishes this by quantifying the expected cost of a design's fault response using probability information, and combining this cost with design and operational costs such that it may be parameterized in terms of designer-specified resilient features. The usefulness and limitations of using this approach in a general optimization and concept selection framework are discussed in general, and demonstrated on a monopropellant system design problem. Using RISCS as an objective for optimization, the algorithm selects the set of resilient features which provides the optimal trade-off between design cost and risk. For concept selection, RISCS is used to judge whether resilient concept variants justify their design costs and make direct comparisons between different model structures.

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Function-based failure propagation for conceptual design

Cited by 13 publications

References 13 publications

Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Optimizing Function-Based Fault Propagation Model Resilience Using Expected Cost Scoring

Quantifying the Resilience-Informed Scenario Cost Sum: A Value-Driven Design Approach for Functional Hazard Assessment

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