Signed directed graph based modeling and its validation from process knowledge and process data
By: Fan Yang, Sirish Shah and Deyun Xiao
Open Access
|Mar 2012References
- Alonso, C. J., Llamas, C., Maestro, J. A. and Pulido, B. (2003). Diagnosis of dynamic systems: A knowledge model that allows tracking the system during the diagnosis process,P. W. H. Chung, C. Hinde and M. Ali (Eds.),, Lecture Notes in Artificial Intelligence, Vol. 2718, Springer, Berlin, pp. 208-218.
- Bauer, M., Cox, J. W., Caveness, M. H., Downs, J. J. and Thornhill, N. F. (2007). Finding the direction of disturbance propagation in a chemical process using transfer entropy,(1): 12-21.
- Bauer, M. and Thornhill, N. F. (2008). A practical method for identifying the propagation path of plant-wide disturbances,(7-8): 707-719.
- Cheng, H., Tikkala, V.-M., Zakharov, A., Myller, T. and Jamsa-Jounela, S. L. (2011). Application of the enhanced dynamic causal digraph method on a three-layer board machine,(3): 644-655.
- Fagarasan, I., Ploix, S. and Gentil, S. (2004). Causal fault detection and isolation based on a set-membership approach,(12): 2099-2110.
- Fedai, M. and Drath, R. (2005). CAEX—A neutral data exchange format for engineering data,(3): 43-51.
- Gigi, S. and Tangirala, A. K. (2010). Quantitative analysis of directional strengths in jointly stationary linear multivariate processes,(2): 119-133.
- Górny, B. (2001)., Ph.D. thesis, AGH University of Science and Technology, Cracow.
- Iri, M., Aoki, K., O'shima, E. and Matsuyama, H. (1979). An algorithm for diagnosis of system failures in the chemical process,(1-4): 489-493.
- Jan, A., Jonas, B., Erik, F., Krysander, M. and Lars, N. (2007). Safety analysis of autonomous systems by extended fault tree analysis,(2-3): 287-298.
- Ligęza, A. (1996). A note on systematic conflict generation in CA-EN-type causal structures,, Laboratory for Analysis and Architecture of Systems, Toulouse.
- Ligęza, A. and Kościelny, J. M. (2008). A new approach to multiple fault diagnosis: A combination of diagnostic matrices, graphs, algebraic and rule-based models. The case of two-layer models,(4): 465-476, DOI: 10.2478/v10006-008-0041-8.
- Korbicz, J. and Kościelny, J. M. (Eds.) (2010)., Springer-Verlag, Berlin/Heidelberg.
- Leyval, L., Gentil, S. and Feray-Beaumont, S. (1994). Model-based causal reasoning for process supervision,(8): 1295-1306.
- Li, Q. and Racine, J. S. (2007)., Princeton University Press, Princeton, NJ.
- Lungarella, M., Ishiguro, K., Kuniyoshi, Y. and Otsu, N. (2007). Methods for quantifying the causal structure of bivariate time series,(3): 903-921.
- Maurya, M. R., Rengaswamy, R. and Venkatasubramanian, V. (2003a). A systematic framework for the development and analysis of signed digraphs for chemical processes: 1. Algorithms and analysis,(20): 4789-4810.
- Maurya, M. R., Rengaswamy, R. and Venkatasubramanian, V. (2003b). A systematic framework for the development and analysis of signed digraphs for chemical processes: 2. Control loops and flowsheet analysis,(20): 4811-4827.
- Maurya, M. R., Rengaswamy, R. and Venkatasubramanian, V. (2004). Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets,(5): 501-518.
- Montmain, J. and Gentil, S. (2000). Dynamic causal model diagnostic reasoning for online technical process supervision,(8): 1137-1152.
- Mosterman, P. J. and Biswas, G. (1999). Diagnosis of continuous valued systems in transient operating regions,(6): 554-565.
- Oyeleye, O. O. and Kramer, M. A. (1988). Qualitative simulation of chemical process systems: Steady-state analysis,(9): 1441-1454.
- Palmer, C. and Chung, P. W. H. (1999). Verifying signed directed graph models for process plants,(Suppl. 1): S394-S391.
- Palmer, C. and Chung, P. W. H. (2000). Creating signed directed graph models for process plants,(20): 2548-2558.
- Pastor, J., Lafon, M., Trave-Massuyes, L., Demonet, J.-F., Doyon, B. and Celsis, P. (2000). Information processing in large-scale cerebral networks: The causal connectivity approach,(1): 49-59.
- Schreiber, T. (2000). Measuring information transfer,(2): 461-464.
- Silverman, B. W. (1986)., Chapman and Hall, London/New York, NY.
- Staroswiecki, M. (2000). Quantitative and qualitative models for fault detection and isolation,(3): 301-325.
- Tangirala, A. K., Shah, S. L. and Thornhill, N. F. (2005). PSC-MAP: A new tool for plant-wide oscillation detection,(8): 931-941.
- Thambirajah, J., Benabbas, L., Bauer, M. and Thornhill, N. F. (2009). Cause-and-effect analysis in chemical processes utilizing XML: Plant connectivity and quantitative process history,(2): 503-512.
- Yang, F., Shah, S. L. and Xiao, D. (2010a). SDG (Signed Directed Graph) based process description and fault propagation analysis for a tailings pumping process,, pp. 50-55.
- Yang, F., Xiao, D. and Shah, S. L. (2010b). Qualitative fault detection and hazard analysis based on signed directed graphs for large-scale complex systems,W. Zhang (Ed.), Fault Detection, IN-TECH, Vukovar, pp. 15-50.
- Yim, S. Y., Ananthakumar, H. G., Benabbas, L., Horch, A., Drath, R. and Thornhill, N. F. (2006). Using process topology in plant-wide control loop performance assessment,(2): 86-99.
Language: English
Page range: 41 - 53
Published on: Mar 22, 2012
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2012 Fan Yang, Sirish Shah, Deyun Xiao, published by University of Zielona Góra
This work is licensed under the Creative Commons License.