Fault diagnosis with continuous system models
B. Chu · IEEE Transactions on Systems Man and Cybernetics · 1993
A unified diagnostic reasoning model that deals with both continuous as well as discrete causal relationships is presented. The diagnostic model significantly extends the formal probabilistic diagnostic reasoning models of other works. Statistical theories are used to formally derive conditional causation probabilities based on continuous system models. The derived conditional causation probabilities can be used along with discrete causal relationships provided by experts to find the most probable diagnostic hypothesis for a given set of observations.>