Probabilistic Safety Assessment

Ajit Kumar Verma (), Srividya Ajit () and Durga Rao Karanki ()
Additional contact information
Ajit Kumar Verma: Stord/Haugesund University College
Srividya Ajit: Stord/Haugesund University College
Durga Rao Karanki: Paul Scherrer Institute

Chapter Chapter 10 in Reliability and Safety Engineering, 2016, pp 333-372 from Springer

Abstract: Abstract Probabilistic safety/risk assessment provides a quantitative framework to estimate risk and identify risk contributors. This chapter introduces the concept of risk and gives an overview of probabilistic safety assessment steps. Special emphasis is given to event tree analysis, importance measures, common cause failure analysis, and human reliability analysis, which are essential and important elements of any safety assessment. Several examples are given to supplement the understanding of these approaches. Some of the remaining important analysis approaches such as fault tree analysis and uncertainty analysis are already covered in rest of the book.

Keywords: Failure Probability; Fault Tree; Boolean Expression; Importance Measure; Event Tree Analysis (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:ssrchp:978-1-4471-6269-8_10

Ordering information: This item can be ordered from
http://www.springer.com/9781447162698

DOI: 10.1007/978-1-4471-6269-8_10

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().