Title :
Component-based modeling and diagnosis of process-control systems
Author :
Proven, G. ; Chen, Yi-Liang
Author_Institution :
Rockwell Sci. Center, Thousand Oaks, CA, USA
Abstract :
This paper describes a component-based modeling approach for diagnosing process-control systems. Our approach allows users to build diagnostic models for complex process-control systems based on a library of component models. Process-control systems are modeled in the form of causal networks and diagnoses are generated using a model-based diagnostic technology. We present our software tools for component-based model building and causal networks diagnostics
Keywords :
control system analysis computing; fault diagnosis; large-scale systems; process control; software tools; causal networks diagnostics; complex systems; component-based modeling; diagnostic models; fault diagnosis; process-control systems; software tools; Chemical processes; Chemical technology; Manufacturing systems; Performance analysis; Petroleum; Process control; Sensor systems; Signal analysis; Software libraries; Software tools;
Conference_Titel :
Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5500-8
DOI :
10.1109/CACSD.1999.808647