Using process topology in plant-wide control loop performance assessment

This contribution describes how disturbances in a control system can be isolated and diagnosed automatically based on plant topology. In order to demonstrate this, a prototype software has been designed and implemented which, when given an electronic process schematic of a plant and results from a data-driven analysis, allows the user to pose queries about the plant and to find root causes of plant-wide disturbances. This hybrid system puts together two new technologies: the plant topology information written in XML according to the computer aided engineering exchange (CAEX) schema and the results of a signal analysis tool called plant-wide disturbance analysis (PDA). The isolation and diagnosis of the root causes of plant-wide disturbances is enhanced when process connectivity is considered alongside the results of data-driven analysis.

[1]  C. M. Sperberg-McQueen,et al.  Extensible markup language , 1997 .

[2]  T. Miao,et al.  Automatic detection of excessively oscillatory feedback control loops , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

[3]  Nina F. Thornhill,et al.  Finding the source of nonlinearity in a process with plant-wide oscillation , 2005, IEEE Transactions on Control Systems Technology.

[4]  Tore Hägglund,et al.  A Control-Loop Performance Monitor , 1995 .

[5]  Brian Surgenor,et al.  Plant-Wide Feedback Control Performance Assessment using an Expert System Framework , 1995 .

[6]  Leo H. Chiang,et al.  Process monitoring using causal map and multivariate statistics: fault detection and identification , 2003 .

[7]  Nina F. Thornhill,et al.  PSCMAP: A new tool for plant-wide oscillation detection , 2005 .

[8]  R. Rengaswamy,et al.  A Systematic Framework for the Development and Analysis of Signed Digraphs for Chemical Processes. 1. Algorithms and Analysis , 2003 .

[9]  T.I. Salsbury,et al.  A new approach for ARMA pole estimation using higher-order crossings , 2005, Proceedings of the 2005, American Control Conference, 2005..

[10]  Nina F. Thornhill,et al.  Specifying the directionality of fault propagation paths using transfer entropy , 2004 .

[11]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[12]  J. Macgregor,et al.  Monitoring and Diagnosing Process Control Performance: The Single-Loop Case , 1991, 1991 American Control Conference.

[13]  En Sup Yoon,et al.  Multiple-Fault Diagnosis Based on System Decomposition and Dynamic PLS , 2003 .

[14]  L. Desborough,et al.  Increasing Customer Value of Industrial Control Performance Monitoring—Honeywell’s Experience , 2002 .

[15]  Chunming Xia,et al.  Loop status monitoring and fault localisation , 2003 .

[16]  Jonathan J. Cook,et al.  P#: a concurrent Prolog for the .NET framework , 2004, Softw. Pract. Exp..

[17]  Nina F. Thornhill,et al.  Detection of multiple oscillations in control loops , 2003 .

[18]  John W. Cox,et al.  A practical approach for large-scale controller performance assessment, diagnosis, and improvement , 2003 .

[19]  Ali Cinar,et al.  Intelligent process monitoring by interfacing knowledge-based systems and multivariate statistical monitoring , 2000 .

[20]  Raghunathan Rengaswamy,et al.  Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets , 2004, Eng. Appl. Artif. Intell..

[21]  Tore Hägglund Automatic Monitoring of Control Loop Performance , 1994 .

[22]  Robin Cowan,et al.  Expert systems: aspects of and limitations to the codifiability of knowledge , 2001 .

[23]  Jonathan J. Cook,et al.  Language interoperability and logic programming languages , 2005 .

[24]  N. F. Thornhilla,et al.  Spectral principal component analysis of dynamic process data , 2002 .

[25]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[26]  Stratos Pistikopoulos,et al.  Computer-aided plant auditing made possible by successful university cooperation , 2005 .

[27]  Ali Cinar,et al.  An intelligent system for multivariate statistical process monitoring and diagnosis. , 2002, ISA transactions.

[28]  Margret Bauer Data-driven methods for process analysis , 2005 .

[29]  Nina F. Thornhill,et al.  Diagnosis of plant-wide oscillation through data-driven analysis and process understanding , 2003 .

[30]  Raghunathan Rengaswamy,et al.  A systematic framework for the development and analysis of signed digraphs for chemical processes. 2. Control loops and flowsheet analysis , 2003 .

[31]  Nina F. Thornhill,et al.  Diagnosis of poor control-loop performance using higher-order statistics , 2004, Autom..

[32]  C. M. Sperberg-McQueen,et al.  Extensible Markup Language (XML) , 1997, World Wide Web J..

[33]  Jose A. Romagnoli,et al.  An integration mechanism for multivariate knowledge-based fault diagnosis , 2002 .

[34]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part III: Process history based methods , 2003, Comput. Chem. Eng..

[35]  John Howell,et al.  Isolating the root cause of propagated oscillations in process plants , 2005 .

[36]  Claudio Scali,et al.  A comparison of techniques for automatic detection of stiction: simulation and application to industrial data , 2005 .

[37]  Xiaoyun Zang,et al.  Discrimination between bad tuning and non-linearity induced oscillations through bispectral analysis , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

[38]  Krister Forsman,et al.  A new criterion for detecting oscillations in control loops , 1999, 1999 European Control Conference (ECC).

[39]  M. Ruel,et al.  QUEBEC QUANDARY SOLVED BY FOURIER TRANSFORM , 1998 .

[40]  John Howell,et al.  Correlation Dimension and Lyapunov Exponent Based Isolation of Plant-Wide Oscillations , 2004 .

[41]  Tore Hägglund,et al.  Detection and Diagnosis of Oscillation in Control Loops , 1997 .

[42]  Chunming Xia,et al.  Isolating multiple sources of plant-wide oscillations via independent component analysis , 2003 .