A Practical Method for Creating Plant Diagnostics Applications
Gábor Karsai, Samir Padalkar, Hubertus Franke, János Sztipanovits, F. DeCaria · Integrated Computer-Aided Engineering · 1996
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 ab le 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.