We describe an algorithm to build a graphical model-more precisely: a join tree representation of a Markov network-for a steady state analog 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 considerably from the nominal values.

Modeling and diagnosis of analog circuits with probabilistic graphical models / Borgelt, C.; Girimonte, D.; Acciani, G.. - STAMPA. - (2004), pp. 485-488. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems, ISCAS tenutosi a Vancouver, Canada nel May 23-26, 2004) [10.1109/ISCAS.2004.1329046].

Modeling and diagnosis of analog circuits with probabilistic graphical models

G. Acciani
2004-01-01

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 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 considerably from the nominal values.
2004
IEEE International Symposium on Circuits and Systems, ISCAS
0-7803-8251-X
Modeling and diagnosis of analog circuits with probabilistic graphical models / Borgelt, C.; Girimonte, D.; Acciani, G.. - STAMPA. - (2004), pp. 485-488. (Intervento presentato al convegno IEEE International Symposium on Circuits and Systems, ISCAS tenutosi a Vancouver, Canada nel May 23-26, 2004) [10.1109/ISCAS.2004.1329046].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/21566
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