A Bayesian belief network for aircraft tire condition assessment

James Luxhoj; Trefor Williams

doi:10.4271/981213

A Bayesian belief network for aircraft tire condition assessment

James Luxhoj, Trefor Williams

Research output: Contribution to conference › Paper › peer-review

Abstract

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. A HUGIN prototype is dicussed to illustrate how a Bayesian approach could be used to support the decision search routine of aircraft safety inspectors when diagnosing equipment of subsystem malfunctions. The example focuses on diagnostic procedures for assessing aircraft tire condition.

Original language	English (US)
DOIs	https://doi.org/10.4271/981213
State	Published - Dec 1 1998
Event	Advances in Aviation Safety Conference and Exposition - Daytona Beach, FL, United States Duration: Apr 6 1998 → Apr 8 1998

Other

Other	Advances in Aviation Safety Conference and Exposition
Country/Territory	United States
City	Daytona Beach, FL
Period	4/6/98 → 4/8/98

All Science Journal Classification (ASJC) codes

Automotive Engineering
Safety, Risk, Reliability and Quality
Pollution
Industrial and Manufacturing Engineering

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10.4271/981213

Cite this

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title = "A Bayesian belief network for aircraft tire condition assessment",

abstract = "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. A HUGIN prototype is dicussed to illustrate how a Bayesian approach could be used to support the decision search routine of aircraft safety inspectors when diagnosing equipment of subsystem malfunctions. The example focuses on diagnostic procedures for assessing aircraft tire condition.",

author = "James Luxhoj and Trefor Williams",

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AB - 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. A HUGIN prototype is dicussed to illustrate how a Bayesian approach could be used to support the decision search routine of aircraft safety inspectors when diagnosing equipment of subsystem malfunctions. The example focuses on diagnostic procedures for assessing aircraft tire condition.

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T2 - Advances in Aviation Safety Conference and Exposition

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A Bayesian belief network for aircraft tire condition assessment

Abstract

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All Science Journal Classification (ASJC) codes

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