Alternative Approaches to Diagnostic Intelligence in Process Control Systems

Abstract

Process control systems usually obtain their primary inputs from sensors that monitor the process under control. Use of sensors and alternative approaches to monitoring processes with an aim of detecting faults is highlighted. A process example involving blending of fruit juices, coolers, heaters, valves etc were also used to showcase some of these approaches. A combination of more than one approach is possible thus taking advantage of the inherent strength in each approach. This paper should be of great interest to anyone interested in obtaining the diagnostic intelligence needed for intelligent process automation.