Abstract
We describe an algorithm to build a graphical model—more precisely: a join tree representation of a Markov network—for a steady state analog electrical circuit. This model can be used to do probabilistic diagnosis based on manufacturer supplied information about nominal values of electrical components and their tolerances as well as measurements made on the circuit. Faulty components can be identified by looking for high probabilities for values of characteristic magnitudes that deviate from the nominal values.
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Borgelt, C., Kruse, R. (2005). Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits. In: Godo, L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2005. Lecture Notes in Computer Science(), vol 3571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11518655_10
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DOI: https://doi.org/10.1007/11518655_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27326-4
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