We extend the use of probabilities to reflect the aging processes affecting component lifetimes. Unexpected failures signal unusual operating conditions possibly due to the failure of other subsystems. The diagnostic system architecture proposed here is capable of detecting failures that are difficult to detect using a conventional diagnostic engine. Moreover, ascribing a statistical interpretation to nonmonotonic reasoning, allows us to use a hybrid (probabilistic-logical) inference engine at the heart of this system.