Reliability Allocation for Series‐Parallel Systems subject to Potential Propagated Failures

• Published in: Quality and reliability engineering international Vol. 36; no. 2; pp. 565 - 576
• Main Authors: Cao, Yingsai, Liu, Sifeng, Fang, Zhigeng, Dong, Wenjie
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.03.2020
• Subjects: Component reliability; Cooling systems; Failure analysis; Failure rates; Game theory; Propagated failure; Reliability allocation; Reliability aspects; Reliability improvement; Series‐parallel system; System reliability
• ISSN: 0748-8017; 1099-1638
• DOI: 10.1002/qre.2591

To analyze the dependent failures in the early stage of system development, this paper considers the potential propagated failures in the reliability allocation process. Factors which can be used to not only measure the component importance but also to reflect the influence brought by propagated failures are proposed. Specifically, cooperative game theory is introduced to explore how the propagated failures affect the failure severity level. Failure rates are obtained by using the Alpha Factor Model with the consideration of dependence among components. Reliability improvement rate is also developed to proportionally assign the target improvement of system reliability to the corresponding components. Furthermore, reliability allocation frameworks for series, parallel and series‐parallel systems are designed respectively to make the proposed model meet a wide range of applications. An illustrative example of a hydraulic cooling system is presented to show how the proposed approach is applied. The allocation results demonstrate that the proposed method can achieve a valid reliability improvement with the minimum error.