Soft Computing Algorithm to Data Validation in Aerospace Systems Using Parity Space Approach
Publication: Journal of Aerospace Engineering
Volume 20, Issue 3
Abstract
This paper deals with the problem of data validation of an instrumentation system applied in the aerospace area. The fault diagnosis method used for the validation is based on the principle of the parity space approach. Residuals are generated thanks to the analytical redundancy relations given by the model and the important number of sensors. Indeed, we propose a procedure, which permits us to compute systematically all the redundancy equations for the residual generation phase. The additional concept, called residuals structuration, is necessary to isolate the detected faults. Finally, the data validation task consists in isolating the failing data and in sending only the valid information to a control system. An application to an aerospace system illustrates the proposed algorithm.
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Acknowledgments
The writers gratefully acknowledge the CNES (Centre National d’Etudes Spatiales-CNES) and Snecma-Moteurs for their financially support in all this study within the framework of data validation of engines on test benches.
References
Basseville, M. (1988). “Detecting changes in signals and systems—A survey.” Automatica, 24(3), 309–326.
Boudaoud, N., and Masson, M. (2000). “Diagnosis of transient states using a pattern recognition approach.” JESA, 34(5), 689–708.
Chen, J., Patton, R., and Zhang, H. (1996). “Design of unknown input observers and robust fault detection filters.” Int. J. Control, 63, 85–105.
Chen, S., Billings, A. S., Cowan, C. F. N., and Grant, P. M. (1990). “Practical identification of NARMAX models using radial basis function.” Int. J. Control, 52, 1327–1350.
Chow, E. Y., and Willsky, A. S. (1984). “Analytical redundancy and the design of robust failure detection systems.” IEEE Trans. Autom. Control, AC-29(7), 603–614.
Ding, X., Guo, L., and Frank, P. M. (1994). “Parametrization of linear observers and its application to observer design.” IEEE Trans. Autom. Control, AC-39, 1648–1652.
Dubuisson, B., Masson, M. H., and Frélicot, C. (1996). “Some topics in using pattern recognition for system diagnosis.” Engineering Simulation, 13, 863–888.
Frank, P. M. (1990). “Fault diagnosis in dynamic system using analytical and knowledge based redundancy: A survey and some new results.” Automatica, 26(3), 459–474.
Frank, P. M. (1994). “Enhancement of robustness in observer based fault detection.” Int. J. Control, 59, 955–981.
Ge, W., and Fang, Z. (1988). “Detection of faulty components via robust observation.” Int. J. Control, 47, 581–599.
Gertler, J. J. (1988). “Survey of model-based failure detection and isolation in complex plant.” IEEE Control Syst. Mag., 3, 3–11.
Gertler, J. J. (1991). “Analytical redundancy methods in fault detection and isolation.” Proc., IFAC/IMACS Symp., Baden-Baden, 9–21.
Hoblos, G., Chafouk, H., Langlois, N., Guilloteau, R., Le Gonidec, S., and Ragot, J. (2003). “Data validation of an instrumentation system using the parity space approach. Application to the aerospace area.” 10th IFAC Symp. on Control in Transportation Systems, Tokyo.
Isermann, R., and Ballé, P. (1997). “Trends in the application of model-based fault detection and diagnosis of technical processes.” Control Eng. Pract., 5(5), 709–719.
Isermann, R., and Freyermuth, B. (1991). “Process faults diagnosis based on process model knowledge. Part I: Principles for fault diagnosis with parameter estimation.” Trans. ASME, J. Appl. Mech., 113, 620–626.
Maquin, D., and Ragot, J. (2000). “Diagnostic des systèmes linéaires.” Collection pédagogique d’automatique, Hermès Science Publications.
Massoumnia, M. (1986). “A geometric approach to failure detection and identification in linear systems.” Ph.D. thesis, MIT, Cambridge, Mass.
Patton, R. J. (1997). “Robustness in model-based fault diagnosis: The 1997 situation.” IFAC Annual Reviews, 21, 101–121.
Patton, R. J., and Chen, J. (1991). “A review of parity space approaches to fault diagnosis for aerospace systems.” J. Guid. Control Dyn., 17, 278–285.
Patton, R. J., Frank, P. M., and Clark, R. N. (1989). Fault diagnosis in dynamic systems: Theory and application, Prentice-Hall, Englewood Cliffs, N.J.
Patton, R. J., Frank, P. M., and Clark, R. N. (2000). Issues of fault diagnosis for dynamic systems, Springer, London.
Potter, J. E., and Suman, M. C. (1977). “Thresholdless redundancy management with arrays of skewed instruments.” Integrity in electronic flight control systems, AGARDOGRAPH-224, 15, 11–25.
Ragot, J., Darouach, M., Maquin, D., and Bloch, G. (1990). “Validation de données et diagnostic.” Traité des nouvelles technologies, série diagnostic et maintenance, Hermès, France.
Ray, A., and Luck, R. (1991). “An introduction to sensor signal validation in redundant measurement systems.” IEEE Control Syst. Mag., 11(2), 44–49.
Simani, S., Fantuzzi, C., and Patton, R. J. (2003). “Model-based fault diagnosis in dynamic systems using identification techniques.” Traité des nouvelles technologies, Springer, London.
Willsky, A. S. (1976). “A survey of design methods for failure detection in dynamic systems.” Automatica, 12, 601–611.
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© 2007 ASCE.
History
Received: Oct 25, 2005
Accepted: Oct 30, 2006
Published online: Jul 1, 2007
Published in print: Jul 2007
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