Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits

  • Christian Borgelt
  • Rudolf Kruse
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3571)

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Christian Borgelt
    • 1
  • Rudolf Kruse
    • 1
  1. 1.School of Computer ScienceUniversity of MagdeburgMagdeburgGermany

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