Quantitative Reliability Assessment of Safety Instrumented Systems with Diverse Redundancy

Kai Wang (), Aidong Xu (), Yan Song (), Hong Wang () and Jie Liu ()
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Kai Wang: Shenyang Institute of Automation, Chinese Academy of Sciences
Aidong Xu: Shenyang Institute of Automation, Chinese Academy of Sciences
Yan Song: Shenyang Institute of Automation, Chinese Academy of Sciences
Hong Wang: Shenyang Institute of Automation, Chinese Academy of Sciences
Jie Liu: Shenyang Institute of Automation, Chinese Academy of Sciences

Chapter Chapter 55 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 497-507 from Springer

Abstract: Abstract Notions of redundancy and diversity are ubiquitous in the design of safety instrumented systems (SIS) which have demanding safety or reliability requirements. Whilst there is clear evidence that these approaches can bring benefits, these benefits can be difficult to quantify. Therefore, a novel method which can be used to quantify the effects of diverse redundancy on system reliability is proposed in this paper. The key idea is to model common cause failure (CCF) based on different categories of root causes and coupling factors. Further, the contribution of the CCF cause of each specific category to CCF probability in total has been considered. The novel method proposed can be applied to the practical SIS design process when related CCF data and component reliability data is available. Finally, an example is given to illustrate the usage of the novel method proposed in practical reliability analysis.

Keywords: Common cause failure; Diverse redundancy; Reliability assessment; Safety instrumented systems (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38433-2_55

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DOI: 10.1007/978-3-642-38433-2_55

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