A Reliability Allocation Method Considering Failure Dependence

Chen, Zhongzhe; Liu, Yu; Huang, Hong‐Zhong; Wu, Xuehai; He, Lei

doi:10.1115/detc2013-12944

Cited by 5 publications

(10 citation statements)

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“…The allocation weight was then expressed in terms of the failure rate, failure effect, and complexity. Mohammadi et al 17 included a hypothetical component arranged in series to model the common cause failures and obtained the allocation weight in terms of S i , d i , and E i defined in equation (3). Although Chen et al 3 and Mohammadi et al 17 considered the dependency of components when computing system reliability, this dependency was neglected when evaluating the allocation weight.…”

Section: Risk-based Allocation For Dependent Failuresmentioning

confidence: 99%

“…This result is different from that of the previous methods, in which every component is improved in proportion to the allocation weight. 2,3,17,24 Once the optimal allocation of component subfailure is determined by solving problem P1, the allocated failure rate of each component is computed using equation (5). The results are presented in Table 7.…”

Section: Illustrative Examplementioning

confidence: 99%

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Optimal allocation of reliability improvement target under dependent component failures

Kim

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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We study the problem of apportioning the reliability improvement target of a series system to components by considering the failure risk and improvement cost when both common cause and cascading failures exist. To solve this problem, previous research has developed different allocation weights in which every component is improved independently in proportion to the allocation weight. In practice, however, allocation weights are not independent among components because several components improve simultaneously when the occurrences of common cause failures are reduced. Therefore, in this study, we partition dependent component failures into mutually exclusive sub-failures to express the system risk in terms of the risk of component sub-failures, where the common cause failures, and cascading failures are incorporated into occurrence and severity evaluations, respectively. Then, an optimization problem is considered to maximize the effectiveness of the system improvement, which is measured as the difference between the decreased failure risk and the increased improvement cost. Finally, a numerical example is presented to illustrate that a component selected for improvement at a low budget would not necessarily be selected at a high budget if different marginal improvement costs were associated with different component failures. In other words, components are selected for improvement only if the reduction in the risk is sufficiently large to offset the improvement cost.

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Section: Risk-based Allocation For Dependent Failuresmentioning

confidence: 99%

Section: Illustrative Examplementioning

confidence: 99%

Optimal allocation of reliability improvement target under dependent component failures

Kim

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…The above inequalities can be solved by using two approaches, the iterative optimizing method and the direct solving method. 6 The optimization method can determine the optimal solution according to the constraint condition, Kuo et al 7,8 classified existing reliability allocation optimization methods into four types of constrained optimization equations and analyzed the advantages and disadvantages of various optimization methods.…”

Section: Introductionmentioning

confidence: 99%

A reliability allocation method of mechanism considering system performance reliability

Zhang

Song

2019

Quality & Reliability Eng

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It is generally believed that the reliability of a mechanical system is determined by its composition. The system operates properly when all of its components do not fail. Based on this assumption, the reliability of the system can be represented by the reliability of its components. A problem arises when applying this hypothesis to a system containing motion mechanisms. There is a phenomenon in motion mechanism that the components do not happen structural failure (we call it “Type I failure”) and joint failure (we call it “Type II failure”), but the function of the mechanism cannot meet the requirements (we call it “Type III failure”). A reliability allocation method, which synthetically considers the composition and Type III failure modes of the motion mechanism, is proposed to solve this problem. A relative dispersion factor is introduced to describe the failure dependence of components and is proposed to calculate the complexity and criticality. A series system reliability allocation model considering three types of failure modes is established. Finally, using an airplane gear door lock mechanism as an example, a comparative analysis of the system reliability allocation results with and without considering Type III failure modes is made. The allocation results show the component reliability value without considering Type III failure modes is less than that when considering them, which will increase the system hazards. The result considering Type III failure modes is more reasonable than that from the traditional method.

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“…In the paper by Chen et al (2013), optimization of the system is investigated by considering failure dependence and it is studied in K-out-of-n redundant systems in order to increase reliability by Mortazavi et al (2016Mortazavi et al ( , 2017.…”

Section: Introductionmentioning

confidence: 99%

Developing an economical model for reliability allocation of an electro-optical system by considering reliability improvement difficulty, criticality, and subsystems dependency

Mohamadi

Karbasian

2018

J Ind Eng Int

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The nature of electro-optical equipment in various industries and the pursuit of the goal of reducing costs demand high reliability on the part of electro-optical systems. In this respect, reliability improvement could be addressed through a reliability allocation problem. Subsystem reliability must be increased such that the requirements as well as defined requisite functions are ensured in accordance with the designers' opinion. This study is an attempt to develop a multiobjective model by maximizing system reliability and minimizing costs in order to investigate design phase costs as well as production phase costs. To investigate reliability improvement feasibility in the design phase, effective feasibility factors in the system are used and the sigma level index is incorporated in the production phase as the reliability improvement difficulty factor. Thus, subsystem reliability improvement priorities are taken into consideration. Subsystem dependency degree is investigated through the design structure matrix and incorporated into the model's limitation together with modified criticality. The primary model is converted into a single-objective model through goal programming. This model is implemented on electro-optical systems, and the results are analyzed. In this method, reliability allocation follows two steps. First, based on the allocation weights, a range is determined for the reliability of subsystems. Afterward, improvement is initiated based upon the costs and priorities of subsystem reliability improvement. Keywords Reliability allocation Á Design and production cost Á Reliability improvement difficulty Á Sigma level Á Design structure matrix (DSM)

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A Reliability Allocation Method Considering Failure Dependence

Cited by 5 publications

References 0 publications

Optimal allocation of reliability improvement target under dependent component failures

Optimal allocation of reliability improvement target under dependent component failures

A reliability allocation method of mechanism considering system performance reliability

Developing an economical model for reliability allocation of an electro-optical system by considering reliability improvement difficulty, criticality, and subsystems dependency

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