A practical method for creating plant diagnostics applications

Abstract

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.