European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

ECSQARU 2005: Symbolic and Quantitative Approaches to Reasoning with Uncertainty pp 100-110

Probabilistic Graphical Models for the Diagnosis of Analog Electrical Circuits

  • Christian Borgelt
  • Rudolf Kruse
Conference paper

DOI: 10.1007/11518655_10

Volume 3571 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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