FUZZY-LOGIC AND NEURAL-NETWORK APPLICATIONS TO FAULT-DIAGNOSIS

This contribution gives a survey on the state of the art in artificial intelligence applications to model-based diagnosis for dynamic proces ses. Emphasis is placed on residual generation and residual evaluation employing fuzzy logic. Particularly for residual generation, a novel observer concept the so-called knowledge observer is introduced. An ar tificial neural network approach for residual generation and evaluatio n is outlined as well. (C) 1997 Elsevier Science Inc.