Bayesian approach to aircraft safety diagnostics

James T. Luxhoj, Andrew Y. Cheng, Trefor P. Williams

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations


This paper presents an application of Bayesian belief networks for modeling the uncertainty in aircraft safety diagnostics. Belief networks or influence diagrams represent possible means to efficiently model uncertain causal relationships among components of a system. HUGIN is a software for the construction of knowledge based systems based on Bayesian networks. Two HUGIN prototypes are discussed to illustrate how a Bayesian approach could be used to support the decision search routine of aircraft safety inspectors when diagnosing equipment or subsystem malfunctions. The examples focus on diagnostic procedures for aircraft navigation and hydraulic subsystems.

Original languageEnglish (US)
Number of pages6
StatePublished - 1997
EventProceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC - Miami Beach, FL, USA
Duration: May 17 1997May 18 1997


OtherProceedings of the 1997 6th Annual Industrial Engineering Research Conference, IERC
CityMiami Beach, FL, USA

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


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