A practical method for creating plant diagnostics applications

Making manufacturing systems more robust (i.e., able to carry out their function under the presence of faults) is an issue of paramount importance: It involves on-line and real-time detection of faults, diagnosis of faults, and recovery from the faults. In this paper, we present a system that is able to generate practical and efficient solutions for these problem. This approach we present is available as part of IPCS (Intelligent Process Control System), which is a model-based environment for generating monitoring, control, simulation, and diagnostics applications for large-scale, continuous process plants. IPCS has been used to generate practical real-time diagnostic and recovery applications in chemical and cogenerator plants. © 1996 John Wiley & Sons, Inc.