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Diagnosis and Reconfiguration using Bayesian Networks: An Electrical Power System Case StudyAutomated diagnosis and reconfiguration are important computational techniques that aim to minimize human intervention in autonomous systems. In this paper, we develop novel techniques and models in the context of diagnosis and reconfiguration reasoning using causal Bayesian networks (BNs). We take as starting point a successful diagnostic approach, using a static BN developed for a real-world electrical power system. We discuss in this paper the extension of this diagnostic approach along two dimensions, namely: (i) from a static BN to a dynamic BN; and (ii) from a diagnostic task to a reconfiguration task. More specifically, we discuss the auto-generation of a dynamic Bayesian network from a static Bayesian network. In addition, we discuss subtle, but important, differences between Bayesian networks when used for diagnosis versus reconfiguration. We discuss a novel reconfiguration agent, which models a system causally, including effects of actions through time, using a dynamic Bayesian network. Though the techniques we discuss are general, we demonstrate them in the context of electrical power systems (EPSs) for aircraft and spacecraft. EPSs are vital subsystems on-board aircraft and spacecraft, and many incidents and accidents of these vehicles have been attributed to EPS failures. We discuss a case study that provides initial but promising results for our approach in the setting of electrical power systems.
Document ID
20100021987
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Knox, W. Bradley (Texas Univ. Austin, TX, United States)
Mengshoel, Ole (Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Date Acquired
August 24, 2013
Publication Date
July 13, 2009
Subject Category
Electronics And Electrical Engineering
Report/Patent Number
ARC-E-DAA-TN678
Meeting Information
Meeting: Twenty-first International Joint Conference on Artificial Intelligence
Location: Pasadena, CA
Country: United States
Start Date: July 13, 2009
End Date: July 17, 2009
Funding Number(s)
CONTRACT_GRANT: NNX08AY50A
Distribution Limits
Public
Copyright
Public Use Permitted.

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