Diagnosis of steady-state process behavior using rules derived from signed directed graph

Abstract

In this paper, we propose diagnosis of steady-state process behavior using rules derived from the signed directed graph (SDG) representing the interaction among the process variables. All abnormalities are correlated using backward reasoning through rules to yield a diagnosis. These rules can be added with experiential rules which are obtained from experts on plant operation.