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A SDG-based reasoning procedure is presented in this paper to qualitatively predict the evolution process of one or more fault propagating in a multi-loop process system. A set of IF-THEN rules are then constructed accordingly for diagnosis purpose. The resulting fuzzy inference system can be used to identify not only the locations of fault origins but also their magnitude levels. Numerical simulation...
A SDG-based reasoning procedure is presented in this paper to qualitatively predict all possible symptom patterns and also their progression sequences caused by fault propagation in any given process system. These intrinsic features of the symptom evolution behaviors are then captured with IF–THEN rules in a two-layer fuzzy inference system. The proposed diagnostic system can be used to identify not...
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