PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Problem doboru optymalnego zbioru sensorów na potrzeby diagnostyki

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
EN
The problem of optimal sensor placement for fault detection and isolation
Języki publikacji
PL
Abstrakty
PL
W tym artykule przedstawiony jest przegląd stanu badań dotyczących zagadnienia projektowania zbioru sensorów wykorzystywanych w diagnostyce procesów przemysłowych. Szczególna uwaga poświęcona została rozwiązaniom wykorzystującym analizę strukturalną lub opis procesu w postaci grafu. Na zakończenie przedstawiona została propozycja alternatywnego podejścia do problemu.
EN
In this article, a review of publications related to sensor placement for the diagnosis of process plants is presented. The main tasks of a sensor network and criteria used for sensors selection are indicated. A summary of methods used for the best selection of measurements is presented. Particular attention is devoted to solutions based on structural analysis and algorithms using a graph as a model of the monitored process plant. A simple example of single tank system is presented and results obtained on this system using different methods of sensor placement are compared. At the end of the article, an idea for a new problem description using a cause-effect graph is presented. A cause-effect graph is a qualitative model of a process plant containing casual relationships between process variables. This kind of process description allows one to directly include faults in the model. Other advantages of that description are mentioned.
Rocznik
Tom
Strony
201--211
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
Bibliografia
  • 1. Bagajewicz M.J.: Process Plant Instrumentation: Design and Upgrade. Technomic Publishing Company, Inc., Lancaster, Pennsylvania 2001.
  • 2. Bagajewicz M.J.: A review of techniques for instrumentation design and upgrade in process plants. The Canadian Journal of Chemical Engineering. 2002, 80(1), 3-16.
  • 3. Bhushan M., Narasimhan S., Rengaswamyb R.: Robust sensor network design for fault diagnosis. Computers & Chemical Engineering. 2008, 32(4-5), 1067-1084.
  • 4. Bhushan M., Rengaswamy R.: Design of sensor location based on various fault diagnostic observability and reliability criteria. Computers & Chemical Engineering. 2001, 24(2-7), 735-741.
  • 5. Blanke M., Kinnert M., Lunze J., Staroswiecki M.: Diagnosis and FaultTolerant Control. Springer, Berlin 2003.
  • 6. Chamseddine A., Noura H., Ouladsine M., Raharijaon T.: Observability of complex systems: Minimal cost sensor network design. 17th World Congress The International Federation of Automatic Control. Seoul, Korea. 2008.
  • 7. Commault C, Dion J.M.: Optimal sensor location for fault detection and isolation in linear structured systems. European Control Conference. 2003.
  • 8. Commault C, Dion J.M., Agha S.Y.: Structural analysis for the sensor location problem in fault detection and isolation. Automatica. 2008, 44(8), 2074-2080.
  • 9. Diistegor D., Frisk E., Cocquempot V., Krysander M., Staroswiecki M.: 2006. Structural analysis of fault isolability in the damadics benchmark. Control Engineering Practice. 2006, 14(6), 597-608.
  • 10. Frisk E., Krysander M.: Sensor placement for maximum fault isolability. 2007.
  • 11. Khemliche M., Bouamama B.O., Haffaf H.: Sensor placement for component diagnosability using bond-graph. Sensors and Actuators A: Physical. 2006, 132(2), 547-556.
  • 12. Krysander M., Nyberg M.: Structural analysis for fault diagnosis of dae systems utilizing graph theory and mss sets. 2002.
  • 13. Meyer M., Lann J.M.L., Koehret B., Enjalbert M.: Optimal selection of sensor location on a complex plant, using a graph oriented approach. Computers & Chemical Engineering. 1994, 18(1), 535-540.
  • 14. Ostasz A.: Graf przyczynowo-skutkowy procesu i jego zastosowanie w wyznaczaniu zbioru residuów i relacji diagnostycznej. Rozprawa doktorska, Politechnika Warszawska, Warszawa 2006.
  • 15. Peng T., Xie Y., Gui W., Chen J.: Optimum design for fault detection filter with sensor location. WRI Global Congress on Intelligent Systems. 2009, 207-210.
  • 16. Rosich A., Sarrate R., Puig V., Escobet T.: Efficient optimal sensor placement for model-based fdi using an incremental algorithm. 46th IEEE Conference on Decision and Control. 2007, 2590-2595.
  • 17. Sarrate R., Puig V., Escobet T., Rosich A.: Optimal sensor placement for model-based fault detection and isolation. 46th IEEE Conference on Decision and Control. 2007, 2584-2589.
  • 18. Sen S., Narasimhan S., Deb K.: Sensor network design of linear processes using genetic algorithms. Computers & Chemical Engineering. 1998, 22(3), 385-390.
  • 19. SensPlaceTool 2009. Strona internetowa http://www.fs.isy.liu.se/software/sensplacetool/.
  • 20. Spanache S., Escobet T., Trave-Massuyes L.: Sensor placement optimization using genetic algorithms. Proceedings of the 15th International Workshop on Principles of Diagnosis. 2004.
  • 21. Staroswiecki M., Hoblos G., Aitouche A.: Sensor network design for fault tolerant estimation. International Journal of Adaptive Control and Signal Processing. 2004, 18(1), 55-72.
  • 22. Trave-Massuyes L., Escobet T., Milne R.: Model-based diagnosability and sensor placement application to a frame 6 gas turbine subsystem. 17th International Joint Conference on Artificial Intelligence. 2001.
  • 23. Yang F., Xiao D., Shah S.L.: Optimal sensor location design for reliable fault detection in presence of false alarm. Sensors. 2009, 9, 8579-859.
  • 24. Yassine A.A., Ploix S., Flaus J.M.: A method for sensor placement taking into account diagnosability criteria. International Journal of Applied Mathematics and Computer Science. 2008, 18(4), 497-512.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAR0-0060-0044
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.