Reliability prediction of engineering systems with competing failure modes due to component degradation

Reliability prediction of engineering systems with competing failure modes due to component degradation
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DOI:
10.1007/s12206-011-0415-y
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发表时间:
2011-07
影响因子:
1.6
通讯作者:
Y. Son
Y. Son
中科院分区:
工程技术4区
文献类型:
--
作者:
Y. Son

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工程系统的可靠性取决于两个可靠性指标:机械可靠性,考虑到组件故障,维持功能系统拓扑,以及在每个功能配置中充分的系统性能可靠性。组件退化不仅解释了组件老化过程导致功能失效,而且还解释了系统性能随时间的变化。在假设系统功能不独立于系统性能的前提下,本文考虑了具有系统功能和系统性能退化部件的系统的多种竞争失效模式。为了减少系统可靠性预测的误差,本文试图将系统部件可靠性中的系统机械可靠性与系统性能可靠性相结合,对公开文献中系统性能可靠性预测方法进行扩展。扩展的可靠性预测方法为比较设计方案和确定有效的维修策略提供了一种有效的可靠性增长方法。以某机电系统为例,详细说明了该方法的应用,并对预测结果进行了讨论。在可靠性预测误差方面,将机械可靠性和性能可靠性与系统总可靠性进行比较。
Reliability of an engineering system depends on two reliability metrics: the mechanical reliability, considering component failures, that a functional system topology is maintained and the performance reliability of adequate system performance in each functional configuration. Component degradation explains not only the component aging processes leading to failure in function, but also system performance change over time. Multiple competing failure modes for systems with degrading components in terms of system functionality and system performance are considered in this paper with the assumption that system functionality is not independent of system performance. To reduce errors in system reliability prediction, this paper tries to extend system performance reliability prediction methods in open literature through combining system mechanical reliability from component reliabilities and system performance reliability. The extended reliability prediction method provides a useful way to compare designs as well as to determine effective maintenance policy for efficient reliability growth. Application of the method to an electro-mechanical system, as an illustrative example, is explained in detail, and the prediction results are discussed. Both mechanical reliability and performance reliability are compared to total system reliability in terms of reliability prediction errors.