RESEARCH PAPER
Stress-strength interference-based importance for series systems considering common cause failure
1
Department of Industrial Engineering School of Mechatronic Engineering Xi’an Technological University 38 Mailbox, No.2 Xuefuzhonglu Road, Weiyang District, Xi'an 710021, China
2
Luoyang Institute of Electro-optical Devices, Aviation Industry Corporation of China No.613 Guanlin Road, Luolong District, Luoyang 471003, China
Publication date: 2020-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(2):241-252
KEYWORDS
importance measurecommon cause failurestress-strength interferencemonotonicity analysiscomponent replacement
ABSTRACT
Series systems, whose structures are simple, are widely discovered in practical engineering, but the interdependency between the
components is complex, such as common cause failure. With the consideration of the components’ strength, this paper focuses on
ranking the importance measure of components considering the common cause failure based on the stress-strength interference
(SSI) model. The weakest component can be identified by integrating the SSI model with the importance measure when the strength
mean and variance of the component under the load stress is known. Firstly, the analytic methods are proposed to calculate the
SSI-based importance of components in the series systems. Then, the monotonicity of SSI-based importance is analyzed by changing the strength mean or strength variance of one component. The results show that the SSI-based importance of components,
whose parameters are changed, will reduce monotonically with the increase of strength mean or increase monotonically with the
increase of strength variance. Finally, a component replacement method is developed based on the rules that both the importance
of replaced component and the importance ranks should be unchanged after the replacement. SSI-based importance can help
engineers to make maintenance decisions, and the component replacement method can increase the diversity of spare parts by
finding the equivalent components.
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