Safety analysis of complex systems based on Bayesian Networks

Author

Chen, Guo-bing ; Yang, Zi-chun ; Sun, Ji-hong

Author_Institution

Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan, China

Volume

1

fYear

2010

fDate

30-31 May 2010

Firstpage

92

Lastpage

95

Abstract

This paper presents a novel approach for safety analysis of complex systems. The Bayeisan Networks has been modeled based on failure scenarios contained a large number information of Failure Modes, Effects and Criticality Analysis accumulated in the production and use stages of complex systems. The model´s constrution, probabilistic inference, sensetivity annlysis is analysised through a case study on controllable-pitch propeller and shafting system. The results show the validity and convenience of the method and great advantages and applications prospects of Bayesian Networks in safety analysis of complex systems.

Keywords

Bayesian methods; Cause effect analysis; Failure analysis; Information analysis; Mechatronics; Power system reliability; Probability distribution; Product safety; Propellers; System analysis and design; Bayesian Networks; Effects and Criticality Analysis; Failure Mode; Failure Scenario; Safety Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on

Conference_Location

Wuhan, China

Print_ISBN

978-1-4244-7653-4

Type

conf

DOI

10.1109/ICINDMA.2010.5538083

Filename

5538083