2017Unpublished venueRequires access

Fault Tree Analysis for System Safety

Jack Dixon

Open publisher page 1 citations

Abstract

Fault tree analysis (FTA) is a deductive analysis technique that focuses a particular undesirable event and is used to determine the root causes contributing to then occurrence of the undesirable event. Construction and analysis of fault trees involves nine steps. This fault tree construction process is replicated from the top level, through all the intermediate levels, until the analyst reaches the basic causes associated with the undesirable event. After the fault tree is constructed, it must be solved. A major product of FTA is the determination of cut sets. For the cut set method of probability calculation, once the minimal cut sets are obtained, if desired, the analyst can perform quantitative analysis of the fault tree by evaluating probabilities. The quantitative evaluations are most easily performed in a sequential manner by first determining the component failure probabilities, then determining the minimal cut set probabilities, and finally determining the probability of the top event.

About this research paper

What this paper is about

Fault tree analysis (FTA) is a deductive analysis technique that focuses a particular undesirable event and is used to determine the root causes contributing to then occurrence of the undesirable event. Construction and analysis of fault trees involves nine steps. This fault tree construction process is replicated from the top level, through all the intermediate levels, until the analyst reaches the basic causes associated with the undesirable event. After the fault tree is constructed, it must be solved. A major product of FTA is the determination of cut sets. For the cut set method of probability calculation, once the minimal cut sets are obtained, if desired, the analyst can perform quantitative analysis of the fault tree by evaluating probabilities. The quantitative evaluations are most easily performed in a sequential manner by first determining the component failure probabilities, then determining the minimal cut set probabilities, and finally determining the probability of the top event.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Fault tree analysis (FTA) is a deductive analysis technique that focuses a particular undesirable event and is used to determine the root causes contributing to then occurrence of the undesirable event. Construction and analysis of fault trees involves nine steps. This fault tree construction process is replicated from the top level, through all the intermediate levels, until the analyst reaches the basic causes associated with the undesirable event. After the fault tree is constructed, it must be solved. A major product of FTA is the determination of cut sets. For the cut set method of probability calculation, once the minimal cut sets are obtained, if desired, the analyst can perform quantitative analysis of the fault tree by evaluating probabilities. The quantitative evaluations are most easily performed in a sequential manner by first determining the component failure probabilities, then determining the minimal cut set probabilities, and finally determining the probability of the top event.

Key concepts: Fault tree analysis, Event tree analysis, Event (particle physics), Event tree, Computer science, Set (abstract data type), Tree (set theory), Reliability engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Fault Tree Analysis for System Safety — Research Paper | ScholarLens