基于贝叶斯推理和决策分析的故障恢复程序

2014 IEEE Metrology for Aerospace (MetroAeroSpace) Pub Date : 2014-05-29 DOI:10.1109/METROAEROSPACE.2014.6865960

M. Vitelli, Giuseppina Formato, A. Vaccaro

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引用次数: 0

摘要

系统故障检测和恢复处理的是一个不确定条件下的决策问题，在不确定条件下，我们首先尝试根据收集到的系统行为信息来隔离故障，然后通过应用一些恢复操作来从故障中恢复。本文提出了一种利用贝叶斯网络进行不确定性推理和决策分析来寻找最佳恢复行动的方法。

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A fault recovery procedure based on Bayesian reasoning and decision analysis

System fault detection and recovery deals with a decision problem under uncertainty in which we first attempt to isolate a fault according to information we collect regarding the system behavior, and after to recovery from the failure by the application of some recovery actions. In this paper we propose a method which makes use of Bayesian networks to reason under uncertainty and decision analysis to search the best recovery action.

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2014 IEEE Metrology for Aerospace (MetroAeroSpace)

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