Abstract
This paper discusses the procedure of integrating importance measures into fault tree analysis. Importance measures (IM) are analytical tools developed to quantitatively appraise the contribution of a plant component towards the overall risk. As part of safety assessment, this method can be used to rank and identify the root cause of undesired events. The critical component is usually prioritised in order to improve the reliability of the system. Fussell-Vesely (FV) importance measure is one of the most commonly used IM. This method is applied to a case study involving typical toxic prevention barriers based on an LNG liquefaction plant. This paper also includes event ranking using other IM.
Highlights
The process industry is a highly complex system with diverse equipment and operating procedures
The objective of this paper is to present an application of Fussell-Vesely measure to a case study and compare with other importance measures (IM)
Birnbaum importance measure (BIM) measures the difference between the system reliability when the component (xi) is totally faulty and when the component (xi) is working perfectly, or the change in total risk in the system resulting from the probability change of an individual basic event from 1 to 0
Summary
The process industry is a highly complex system with diverse equipment and operating procedures. Several risk-based approaches have been used to classify systems, sub-systems, and equipment to prioritise inspection and maintenance in a processing plant [1]. Probabilistic safety assessment is one of the strategies for prioritising maintenance, and a class of technique within this category is the risk importance measures (IM). The objective of this paper is to present an application of Fussell-Vesely measure to a case study and compare with other IM.
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