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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/10460

Title: A qualitative shape analysis formalism for monitoring control loop performance
Authors: RENGASWAMY, R
HAGGLUND, T
VENKATASUBRAMANIAN, V
Keywords: pattern-recognition approach
feedback-control
Issue Date: 2001
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 14(1), 23-33
Abstract: Optimal performance of controllers and control loops is crucial for process economy, quality and safety in chemical plants. Industrial statistics show that often a significant percentage of them are performing sub-optimally at any given time. Effective realtime monitoring of control loops is a difficult task as there may be dozens of loops to monitor in a typical process. In addition, abnormal or suboptimal performance is often not apparent under cursory inspection. Hence, automated approaches for the realtime monitoring of control loop performance is of considerable interest. In this paper. we propose an automated qualitative shape analysis (QSA) formalism for detecting and diagnosing different kinds of oscillations in control loops. We extend our earlier QSA methodology to make it more robust by developing an algorithm for automatic identification of the appropriate global time-scales. We demonstrate this formalism on three case studies to detect and diagnose control loop oscillations. (C) 2001 .
URI: http://dx.doi.org/10.1016/S0952-1976(00)00051-8
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10460
http://hdl.handle.net/10054/10460
ISSN: 0952-1976
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