Test signal generation for service diagnosis based on local structural properties

Michael Ungermann; Jan Lunze; Dieter Schwarzmann

International Journal of Applied Mathematics and Computer Science (2012)

  • Volume: 22, Issue: 1, page 55-65
  • ISSN: 1641-876X

Abstract

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The paper presents a new approach to the generation of test signals used in service diagnosis. The tests make it possible to isolate faults, which are isolable only if the system is brought into specific operating points. The basis for the test signal selection is a structure graph that represents the couplings among the external and internal signals of the system and the fault signals. Graph-theoretic methods are used to identify edges that disappear under certain operating conditions and prevent a fault from changing the system behavior at this operating point. These operating conditions are identified by validuals, which are indicators obtained during the graph-theoretic analysis. The test generation method is illustrated by a process engineering example.

How to cite

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Michael Ungermann, Jan Lunze, and Dieter Schwarzmann. "Test signal generation for service diagnosis based on local structural properties." International Journal of Applied Mathematics and Computer Science 22.1 (2012): 55-65. <http://eudml.org/doc/208100>.

@article{MichaelUngermann2012,
abstract = {The paper presents a new approach to the generation of test signals used in service diagnosis. The tests make it possible to isolate faults, which are isolable only if the system is brought into specific operating points. The basis for the test signal selection is a structure graph that represents the couplings among the external and internal signals of the system and the fault signals. Graph-theoretic methods are used to identify edges that disappear under certain operating conditions and prevent a fault from changing the system behavior at this operating point. These operating conditions are identified by validuals, which are indicators obtained during the graph-theoretic analysis. The test generation method is illustrated by a process engineering example.},
author = {Michael Ungermann, Jan Lunze, Dieter Schwarzmann},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {structural analysis; service diagnosis; active diagnosis; test generation},
language = {eng},
number = {1},
pages = {55-65},
title = {Test signal generation for service diagnosis based on local structural properties},
url = {http://eudml.org/doc/208100},
volume = {22},
year = {2012},
}

TY - JOUR
AU - Michael Ungermann
AU - Jan Lunze
AU - Dieter Schwarzmann
TI - Test signal generation for service diagnosis based on local structural properties
JO - International Journal of Applied Mathematics and Computer Science
PY - 2012
VL - 22
IS - 1
SP - 55
EP - 65
AB - The paper presents a new approach to the generation of test signals used in service diagnosis. The tests make it possible to isolate faults, which are isolable only if the system is brought into specific operating points. The basis for the test signal selection is a structure graph that represents the couplings among the external and internal signals of the system and the fault signals. Graph-theoretic methods are used to identify edges that disappear under certain operating conditions and prevent a fault from changing the system behavior at this operating point. These operating conditions are identified by validuals, which are indicators obtained during the graph-theoretic analysis. The test generation method is illustrated by a process engineering example.
LA - eng
KW - structural analysis; service diagnosis; active diagnosis; test generation
UR - http://eudml.org/doc/208100
ER -

References

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  1. Bayoudh, M., Travé-Massuyès, L. and Olive, X. (2008). Towards active diagnosis of hybrid systems, 19th International Workshop on Principles of Diagnosis, Blue Mountains, Australia, pp. 231-237. 
  2. Bayoudh, M., Travé-Massuyès, L. and Olive, X. (2009). Active diagnosis of hybrid systems guided by diagnosability properties, IFAC Safeprocess, Barcelona, Spain, pp. 1498-1503. 
  3. Blanke, M., Kinnaert, M., Lunze, J. and Staroswiecki, M. (2006). Diagnosis and Fault-Tolerant Control, Springer. Zbl1126.93004
  4. Campbell, S.L. and Nikoukhah, R. (2004). Auxiliary Signal Design for Failure Detection, Princeton University Press, Princeton, NJ. Zbl1055.94036
  5. Clever, S. and Isermann, R. (2008). Model-based fault detection and diagnosis with special input excitation applied to a modern diesel engine, Proceedings of the 17th IFAC World Congress, Seoul, Korea, pp. 2031-2036. 
  6. Dulmage, A.L. and Mendelsohn, N.S. (1958). Coverings of bipartite graphs, Canadian Journal of Mathematics 10(4): 516-534. Zbl0091.37404
  7. Krysander, M., Åslund, J. and Nyberg, M. (2008). An efficient algorithm for finding minimal overconstrained subsystems for model-based diagnosis, IEEE Transactions on Systems, Man, and Cybernetics 38(1): 197-206, DOI: 10.1109/TSMCA.2007.909555. 
  8. Laursen, M., Blanke, M. and Düştegör, D. (2008). Fault diagnosis of a water for injection system using enhanced structural isolation, International Journal of Applied Mathematics and Computer Science 18(4): 593-603, DOI: 10.2478/v10006-008-0052-5. Zbl1156.93371
  9. Niemann, H. and Poulsen, N.K. (2005). Active fault diagnosis in closed-loop systems, Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, DOI: 10.3182/20050703-6-CZ-1902.01877. Zbl1155.93427
  10. Riggins, R.N. and Ribbens, W. B. (1997). Designed inputs for detection and isolation of failures in the state transition matrices of dynamic systems, IEEE Transactions on Control Systems Technology 5(2): 149-162. 
  11. Ungermann, M., Lunze, J. and Schwarzmann, D. (2010a). Model-based test signal generation for service diagnosis of automotive systems, Advances in Automotive Control, Munich, Germany, DOI: 10.3182/20100712-3-DE2013.00029. Zbl1274.90124
  12. Ungermann, M., Lunze, J. and Schwarzmann, D. (2010b). Service diagnosis utilizing the dependencies between the system structure and the operating points, Conference on Control and Fault-Tolerant Systems, Nice, France, pp. 873-878. 
  13. Zhang, X.J. (1989). Auxiliary Signal Design in Fault Detection and Diagnosis, Springer, Heidelberg. Zbl0679.68207

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