A PRACTICAL METHOD FOR CREATING PLANT DIAGNOSTICS APPLICATIONS

Making manufacturing systems more robust (i.e., able to carry out thei r function under the presence of faults) is an issue of paramount impo rtance: It involves on-line and real-time detection of faults, diagnos is of faults, and recovery from the faults. In this paper, we present a system that is able to generate practical and efficient solutions fo r these problem. This approach we present is available as part of IPCS (Intelligent Process Control System), which is a model-based environm ent-for generating monitoring, control, simulation, and diagnostics ap plications for large-scale, continuous process plants. IPCS has been u sed to generate practical real-time diagnostic and recovery applicatio ns in chemical and cogenerator plants. (C) 1996 John Wiley & Sons, Inc .