Abstract
Sophisticated computer simulation has revolutionised the design and control of distillation processes. Despite this, statistics has shown that the number of column malfunctions is rising. It is believed that there is a good amount of art in preventing and trouble-shooting column operational problems. Unlike principal knowledge which can be described in equations and implemented in computer programs, the knowledge for trouble-shooting is often ill-structured. This paper describes the application of Bayesian graphical models for representation of this type of knowledge and for developing trouble-shooting systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
