nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure
Jianmin Fu,
Honghao Li,
Yajuan Chi,
Jia Zhen and
Xiangfeng Xu
Reliability Engineering and System Safety, 2021, vol. 210, issue C
Abstract:
In order to evaluate the safety integrity level (SIL) of safety instrumented systems (SIS) with diverse redundancy structures including more realistic assumptions, the average probability of failure on demand (PFDavg) models for the common diverse redundancy structures (1oo2, 2oo2, and 2oo3) have been established based on the fault tree analysis (FTA) method. These models take into account the common cause failures (CCF) and diagnostic coverage (DC) parameters with the correction coefficient. The model is applied to the SIL assessment of the emergency shutdown system (ESD) with diverse redundancy in gas storage and gathering. The proof test interval T is used as an indicator to compare and verify the sensitivity of both the new model and the previous models. The results can be concluded as follows: 1) The new model achieves higher consistency than the previous models; 2) The proposed model considers that different redundancy structures have CCF, which are more realistic and have higher applicability to be used to solve practical engineering problems.
Keywords: Diverse redundancy; safety instrumented systems; safety integrity level; PFDavg; CCF; DC (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S095183202100079X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:210:y:2021:i:c:s095183202100079x
DOI: 10.1016/j.ress.2021.107518
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().