On the structure function and survival signature for system reliability

Coolen, Frank P. A.; Coolen‐Maturi, Tahani

doi:10.1080/09617353.2016.1219936

Cited by 18 publications

(7 citation statements)

References 19 publications

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“…Survival signature has been proven to be an efficient method for estimating the reliability of systems with multiple component types. 33–36 Reliability analysis of a system using survival signature could separate the system structure from the component probabilistic failure distribution. Therefore, calculation of all the cut-sets, which is a cumbersome and error-prone task, can be bypassed.…”

Section: Resultsmentioning

confidence: 99%

Reliability sensitivity analysis of coherent systems based on survival signature

Huang

Coolen

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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The reliability sensitivity can be used to rank distribution parameters of system components concerning their impacts on the system's reliability. Such information is essential to purposes such as component prioritization, reliability improvement, and risk reduction of a system. In this article, we present an efficient method for reliability sensitivity analysis of coherent systems using survival signature. The survival signature is applied to calculate the reliability of coherent systems. The reliability importance of components is derived analytically to evaluate the relative importance of the component with respect to the overall reliability of the system. The closed-form formula for the reliability sensitivity of the system with respect to component's distribution parameters is derived from the derivative of lifetime distribution of a component to further investigate the impacts of the distribution parameters on the system's reliability. The effectiveness and feasibility of the proposed approaches are demonstrated with two numerical examples.

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Section: Resultsmentioning

confidence: 99%

Reliability sensitivity analysis of coherent systems based on survival signature

Huang

Coolen

2018

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…Obtaining the structure function of a complex system with multiple components requires a large amount of calculations [26]. Furthermore, the structure of the system changes after component swapping, which makes it difficult to describe the system using the structure function.…”

Section: Efficient Reliability Analysis With Survival Signature Undermentioning

confidence: 99%

A New System Reliability Optimization Model Based on Swapping Existing Components

Huang

et al. 2019

Complexity

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Complex systems contain a large number of components, and in some cases, failure of one or more of these components can cause the entire system to fail. Replacing failed components with other functioning components properly in the original system can be an attractive way for improving system reliability. This paper proposes a new system reliability optimization model to achieve optimal component reliability and the ideal component-swapping strategy under a certain set of constraints. Furthermore, the survival signature is introduced to more efficient calculation of system reliability under various component-swapping cases, and an artificial bee colony (ABC) algorithm with local search method for component swapping is applied to solve the optimization problem. Finally, numerical examples are presented to illustrate the optimization process.

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“…This is useful when a system which may have components with failure times that follow different probability distributions. 19,20 Therefore, survival signature is a promising method for application to complex systems and networks.…”

Section: Introductionmentioning

confidence: 99%

Survival Signature-based Reliability Approach for Complex Systems Susceptible to Common Cause Failures

Geng

2019

Int. J. Rel. Qual. Saf. Eng.

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The importance of reliability to complex systems cannot be disputed as they are the backbones of our society. In practice, the common cause failures may have severe reverse function on complex systems’ overall stability. Survival Signature opens a new way to perform reliability analysis on systems with multiple component types. This paper under takes a research on survival signature-based reliability analysis on complex systems susceptible to Common Cause Failures. To be specific, it proposes the standard [Formula: see text]-factor model and general [Formula: see text]-factor model to combine with the survival signature. In practical applications, the [Formula: see text]-factor estimator of the system might not be defined completely due to limited data, or knowledge which requires to take imprecision into account. Some numerical cases are presented to show the applicability of the methods for complex systems. In addition, this paper may attract people’s attention on the conception of Design for Reliability.

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On the structure function and survival signature for system reliability

Cited by 18 publications

References 19 publications

Reliability sensitivity analysis of coherent systems based on survival signature

Reliability sensitivity analysis of coherent systems based on survival signature

A New System Reliability Optimization Model Based on Swapping Existing Components

Survival Signature-based Reliability Approach for Complex Systems Susceptible to Common Cause Failures

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