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 processes. 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 artificial neural network approach for residual generation and evaluation is outlined as well. (C) 1997 Elsevier Science Inc.