Have a personal or library account? Click to login
Configuring A Sensor Network for Fault Detection in Distributed Parameter Systems Cover

Configuring A Sensor Network for Fault Detection in Distributed Parameter Systems

Open Access
|Dec 2008

References

  1. Amouroux M. and Babary J. P. (1988). Sensor and control location problems, in M. G. Singh (Ed), Systems & Control Encyclopedia. Theory, Technology, Applications, Vol. 6, Pergamon Press, Oxford, pp. 4238-4245.
  2. Atkinson A. C., Donev A. N. and Tobias R. (2007). Optimum Experimental Design, with SAS, Oxford University Press, Oxford.
  3. Bernstein D. S. (2005). Matrix Mathematics. Theory, Facts, and Formulas with Application to Linear Systems Theory, Princeton University Press, Princeton, NJ.
  4. Bertsekas D. P. (1999). Nonlinear Programming, 2nd Edn, Athena Scientific, Belmont, MA.
  5. Boer E. P. J., Hendrix E. M. T. and Rasch D. A. M. K. (2001). Optimization of monitoring networks for estimation of the semivariance function, in A. C. Atkinson, P. Hackl and W. Müller (Eds), mODa 6, Proceedings of the 6th International Workshop on Model-Oriented Data Analysis, Puchberg/Schneeberg, Austria, Physica-Verlag, Heidelberg, pp. 21-28.
  6. Boyd S. and Vandenberghe L. (2004). Convex Optimization, Cambridge University Press, Cambridge.10.1017/CBO9780511804441
  7. Cassandras C. G. and Li W. (2005). Sensor networks and cooperative control, European Journal of Control 11(4-5): 436-463.10.3166/ejc.11.436-463
  8. Chiang L. H., Russell E. L. and Braatz R. D. (2001). Fault Detection and Diagnosis in Industrial Systems, Springer-Verlag, London.10.1007/978-1-4471-0347-9
  9. Fedorov V. V. and Hackl P. (1997). Model-Oriented Design of Experiments, Lecture Notes in Statistics, Springer-Verlag, New York, NY.10.1007/978-1-4612-0703-0
  10. Floudas C. A. (2001). Mixed integer nonlinear programming, MINLP, in C. A. Floudas and P. M. Pardalos (Eds), Encyclopedia of Optimization, Kluwer Academic Publishers, Dordrecht, Vol. 3, pp. 401-414.
  11. Gerdts M. (2005). Solving mixed-integer optimal control problems by branch&bound: A case study from automobile test-driving with gear shift, Journal of Optimization Theory and Applications 26: 1-18.10.1002/oca.751
  12. Isermann R. (1997). Supervision, Fault Detection and Diagnosis of Technical Systems, Control Engineering Practice 5(5): 639-652.10.1016/S0967-0661(97)00046-4
  13. Korbicz J., Kościelny J., Kowalczuk Z. and Cholewa W. (2004). Fault Diagnosis. Models, Artificial Intelligence, Applications, Springer-Verlag, Berlin.10.1007/978-3-642-18615-8
  14. Kubrusly C. S. and Malebranche H. (1985). Sensors and controllers location in distributed systems—A survey, Automatica 21(2): 117-128.10.1016/0005-1098(85)90107-4
  15. Maculan N., Santiago C. P., Macambira E. M. and Jardim M. H. C. (2003). An O(n) algorithm for projecting a vector on the intersection of a hyperplane and a box in R n, Journal of Optimization Theory and Applications 117(3): 553-574.10.1023/A:1023997605430
  16. Omatu S. and Seinfeld J. H. (1989). Distributed Parameter Systems: Theory and Applications, Oxford University Press, New York, NY.
  17. Patan M. (2004). Optimal Observation Strategies for Parameter Estimation of Distributed Systems, Zielona Góra University Press. Accessible at http://www.zbc.zgora.pl. http://www.zbc.zgora.pl
  18. Patan M. and Patan K. (2005). Optimal observation strategies for model-based fault detection in distributed systems, International Journal of Control 78(18): 1497-1510.10.1080/00207170500366077
  19. Patan M., Uciński D. and Baranowski P. (2005). Optimal observation strategies for fault detection in distributed-parameter systems, Pomiary, Automatyka, Kontrola (9): 71-73.
  20. Patton R. J., Frank P. M. and Clark R. (2000). Issues of Fault Diagnosis for Dynamic Systems, Springer-Verlag, Berlin.10.1007/978-1-4471-3644-6
  21. Patton R. J. and Korbicz J. (Eds.) (1999). Advances in Computational Intelligence, International Journal of Applied Mathematics and Computer Science 9 (3).
  22. Pázman A. (1986). Foundations of Optimum Experimental Design, D. Reidel Publishing Company, Dordrecht.
  23. Pukelsheim F. (1993). Optimal Design of Experiments, John Wiley & Sons, New York, NY.
  24. Quereshi Z. H., Ng T. S. and Goodwin G. C. (1980). Optimum experimental design for identification of distributed parameter systems, International Journal of Control 31(1): 21-29.10.1080/00207178008961025
  25. Rafajłowicz E. (1981). Design of experiments for eigenvalue identification in distributed-parameter systems, International Journal of Control 34(6): 1079-1094.10.1080/00207178108922583
  26. Rafajłowicz E. (1983). Optimal experiment design for identification of linear distributed-parameter systems: Frequency domain approach, IEEE Transactions on Automatic Control 28(7): 806-808.10.1109/TAC.1983.1103309
  27. Reinefeld A. (2001). Heuristic search, in C. A. Floudas and P. M. Pardalos (Eds), Encyclopedia of Optimization, Kluwer Academic Publishers, Dordrecht, Vol. 2, pp. 409-411.10.1007/0-306-48332-7_194
  28. Russell S. J. and Norvig P. (2003). Artificial Intelligence: A Modern Approach, 2nd Edn, Pearson Education International, Upper Saddle River, NJ.
  29. Sun N.-Z. (1994). Inverse Problems in Groundwater Modeling, Kluwer Academic Publishers, Dordrecht.
  30. Uciński D. (1992). Optimal sensor location for parameter identification of distributed systems, International Journal of Applied Mathematics and Computer Science 2(1): 119-134.
  31. Uciński D. (1999). Measurement Optimization for Parameter Estimation in Distributed Systems, Technical University Press, Zielona Góra. Available at http://www.zbc.zgora.pl. http://www.zbc.zgora.pl
  32. Uciński D. (2000). Optimal selection of measurement locations for parameter estimation in distributed processes, International Journal of Applied Mathematics and Computer Science 10(2): 357-379.
  33. Uciński D. (2003). On optimum experimental design for technical diagnostics of processes, in Z. Kowalczuk (Ed), Proceedings of 6-th National Conference on Diagnostics of Industrial Processes, Władysławowo, Poland, Technical University Press, Gdańsk, pp. 207-212, (in Polish).
  34. Uciński D. (2005). Optimal Measurement Methods for Distributed-Parameter System Identification, CRC Press, Boca Raton, FL.10.1201/9780203026786
  35. Uciński D. and Patan M. (2007). D-optimal design of a monitoring network for parameter estimation of distributed systems, Journal of Global Optimization 39(2): 291-322.10.1007/s10898-007-9139-z
  36. van de Wal M. and de Jager B. (2001). A review of methods for input/output selection, Automatica 37(4): 487-510.10.1016/S0005-1098(00)00181-3
  37. Walter É. and Pronzato L. (1997). Identification of Parametric Models from Experimental Data, Communications and Control Engineering, Springer-Verlag, Berlin.
DOI: https://doi.org/10.2478/v10006-008-0045-4 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 513 - 524
Published on: Dec 30, 2008
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2008 Maciej Patan, Dariusz Uciński, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 18 (2008): Issue 4 (December 2008)