Using Dynamic Decision Networks and Extended Fault Trees for Autonomous FDIR
Using Dynamic Decision Networks and Extended Fault Trees for Autonomous FDIR
复制标题
使用动态决策网络和扩展故障树进行自主 FDIR
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
D. Raiteri
中科院分区：
文献类型：
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作者：
L. Portinale;D. Raiteri
我们解决的问题，定义一个autonoumous故障检测，识别和恢复（故障检测，识别和恢复）代理（如空间漫游者）的行为，在存在的不确定性和部分可观测性，我们展示了如何动态决策网络（DDN）可以建立通过故障分析阶段，通过产生一个扩展的动态故障树（EDFT）。在此故障树扩展中，引入了几个建模功能：布尔组件到多状态组件的泛化，组件之间的一般随机依赖关系，最后是系统上的外部动作以及系统本身触发的可控动作。我们讨论了如何EDFT可以通过作为一个正式的建模语言（熟悉的可靠性工程师），然后编译成DDN的可靠性分析，通过标准的推理算法。
We address the problem of defining the behavior of an autonoumous FDIR (Fault Detection, Identification and Recovery) agent (e.g. a space rover), in presence of uncertainty and partial observability, we show how a Dynamic Decision Network (DDN) can be built through a fault analysis phase by producing an Extended Dynamic Fault Tree (EDFT). In this fault tree extension, several modeling features are introduced: a generalization of Boolean components to multi-state components, general stochastic dependencies among components, and finally external actions on the system as well as controllable actions triggered by the system itself. We discuss how EDFT can be adopted as a formal modeling language (familiar to reliability engineers), then compiled into a DDN for the FDIR analysis through standard inference algorithms.