Abstract
The paper presents the method of qualitative modeling of industrial process in the form of cause-and-effect graph that directly takes into account fault influence on process variables. Selected applications of that graph are briefly characterized. Its usefulness in alarm analyzes, designing of process diagnostics and HAZOP safety analyses is described.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
1. Blanke M., Kiannaert M, Lunze M. and Staroswiecki M. Diagnosis and Fault-Tolerant Control. Berlin: Springer-Verlag, 2003.
2. Dunjo J., Fthenakis V., Vilchez J.A., Arnaldos J.: Hazard and operability (HAZOP) analizys. A literature reviw. Journal of Hazardous Materials, 173 (2010) 19-32.
3. Gatnar E. Methods of qualitative modeling (in Polish). Akademicka Oficyna Wydawnicza PLJ, Warszawa 1994.
4. Iri M., Aoki K., O’Shima E., Matsuyama H., An algorithm for diagnosis of system failures in the chemical process. Computers & Chemical Engineering, Vol.3., 1979, 489-493.
5. Kościelny J. M., Ostasz A., Application of Causal Graph GP for Description of Diagnosed Process, 5th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes – SAFEPROCESS’2003, Washington, USA June 9-11, 2003, pp. 879–884.
6. Kościelny J.M., Syfert M., Rostek K., Sztyber A.: Fault Isolability with Different Forms of Faults-Symptoms Relation. Int. J. Appl. Math. Comput. Sci. 2016, Vol. 26, No. 4, 815–826, (DOI:http://dx.doi.org/10.1515/amcs-2016-0058).
7. Montmain J. Leyval L., Causal Graphs for Model Based Diagnosis. IFAC Symposium on Fault Detection, Supervision and Safety for Technical Process – SAFEPROCESS’1994, Espoo, Finland, Vol.1, 347-355.
8. Ostasz A.: Cause-and-effect graph of the process and its application for determining the set of residuals and diagnostic relations (in Polish). PhD. thesis., Warsaw University of Technology, Faculty of Mechatronics, Warszawa 2007
9. Rostek K.: Influence of multi-valued diagnostic signals on optimal sensor placement, Journal of Physics: Conference Series 783, 2017, 13th European Workshop on Advanced Control and Diagnosis (ACD 2016), 17–18 November 2016, Lille, France
10. Shiozaki J, Matsuyama H., Tano K., O’Shima, Fault Diagnosis of Chemical Processes by the Use of Signed Directed Graphs: Extension to Five-Range Patterns of Abnormality. International Chemical Engineering, Vol. 37, No. 4, 1985, 651-659.
11. Sztyber A.: The method of selecting the set of sensors for diagnostics of industrial processes based on cause-and-effect graph (in Polish). PhD. thesis, Warsaw University of Technology, Faculty of Mechatronics, 2015.
12. Sztyber A.: Sensor Placement for Fault Diagnosis Using Graph of a Process, Journal of Physics: Conference Series 783, 2017, 13th European Workshop on Advanced Control and Diagnosis (ACD 2016), 17–18 November 2016, Lille, France
13. Sztyber A., Ostasz A., Kościelny J.M.: Graph of a Process - a new tool for finding model’s structures in model based diagnosis. IEEE TRANSACTIONS ON SYSTEM, MAN, AND CYBERNETICS: SYSTEMS. (DOI: 10.1109/TSMC.2014.2384000)
14. Tabor Ł.: Modified method of constructing cause-and-effect graphs with use of historical signal time series (in Polish). Pomiary Automatyka Kontrola, 2012, R.58, nr.1, 101-104.
15. Thoma J. and Bouamama B. O., Modelling and Simulation in thermal and Chemical Engineering. Berlin: Springer-Verlag, 2000.
16. Venkatasubramanian V, Rengaswamy R, Yin K, Kavuri SN. A review of process fault detection and diagnosis, Part II: Qualitative model and search strategies. Computers and Chemical Engineering 2003;27:313–326.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Kościelny, J.M., Sztyber, A., Syfert, M. (2017). Graph description of the process and its applications. In: Mitkowski, W., Kacprzyk, J., Oprzędkiewicz, K., Skruch, P. (eds) Trends in Advanced Intelligent Control, Optimization and Automation. KKA 2017. Advances in Intelligent Systems and Computing, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-319-60699-6_53
Download citation
DOI: https://doi.org/10.1007/978-3-319-60699-6_53
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60698-9
Online ISBN: 978-3-319-60699-6
eBook Packages: EngineeringEngineering (R0)