Abstract
A computer assisted multiple faults detection and diagnosis, based on a fuzzy qualitative simulation algorithm, is presented. The system has a hierarchical structure consisting of a process simulator with control of some process variables in a lower layer and a supervisory module in an upper layer whose main goal is to detect and diagnose single and multiple simultaneous faults introduced in the lower layer. The adoption of fuzzy sets allows a more detailed description of physical variables, through an arbitrary, but finite, discretisation of the quantity space. Moreover, the fuzzy representation of qualitative values is more general than ordinary interval representation, since it can represent not only the information stated by a well defined real interval but also the knowledge embedded in the soft boundaries of the interval. The overall system has been implemented through a TURBO C++ program and successful applied in simulation studies of a continuous stirred tank reactor.
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