A fuzzy bayesian reasoning method to realise interactive failure analysis

Author

Yang, Zaili ; Bonsall, Stephen ; Wang, Jin

Author_Institution

Sch. of Eng., Liverpool John Moores Univ., Liverpool, UK

fYear

2009

fDate

20-24 July 2009

Firstpage

403

Lastpage

406

Abstract

This paper presents a novel failure analysis and prioritization method, which takes the advantages of both fuzzy and Bayesian reasoning to deal with some of the drawbacks concerning the use of the conventional failure mode and effects analysis (FMEA) technique. The method is proposed to extend the previously developed fuzzy rule-based bayesian reasoning (FuRBaR) approach to a wider context, where not only ambiguous estimates but also dependent relations associated with failures can be appropriately modelled.

Keywords

Bayes methods; diagnostic reasoning; engineering computing; failure analysis; fuzzy reasoning; FMEA technique; failure mode-and-effects analysis; fuzzy Bayesian reasoning method; interactive failure analysis; prioritization method; Analytical models; Bayesian methods; Context modeling; Failure analysis; Fuzzy reasoning; Reliability engineering; Risk management; Safety; Systems engineering and theory; Uncertainty; FMEA; Fuzzy-bayesian; Maritime risk assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-4903-3

Electronic_ISBN

978-1-4244-4905-7

Type

conf

DOI

10.1109/ICRMS.2009.5270163

Filename

5270163