Skip to main navigation Skip to search Skip to main content

Improved quantitative analysis method of FMECA with Monte Carlo simulation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper aims to present an improved Failure Modes Effects and Criticality Analysis (FMECA) method with Monte Carlo simulation. Traditional Risk Priority Number (RPN) method is the common solution for quantitative analysis of FMECA. However, it has its limitation. For example, traditional method adopts nature number to represent the evaluation of Occurrence, Severity and Detection which results in that the different failure modes may have the same RPN value. So the study proposes the Monte Carlo simulation as an improved tool for quantitative analysis of Occurrence, Severity and Detection which can effectively avoid the problems. The paper illustrates the updated method with flight control system of unmanned aerial vehicle (UAV).

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages8728-8732
Number of pages5
ISBN (Electronic)9789881563897
DOIs
StatePublished - 11 Sep 2015
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • FMECA
  • Monte Carlo simulation
  • Risk Priority Number

Fingerprint

Dive into the research topics of 'Improved quantitative analysis method of FMECA with Monte Carlo simulation'. Together they form a unique fingerprint.

Cite this