In model-based diagnosis, one of the assumptions usually made is that components behave nonintermittently. Often this is an implicit assumption or it is made as a kind of afterthought because it makes the proposed algorithms simpler. An approach based on probability calculus that can deal with intermittent behavior of components is described. A disadvantage of this approach is the need for more observations.
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