Abstract
In this paper, model and signal-based methods for supervision ofsuspension elements of a car are presented. A model-based approach usingparameter estimation is used to determine the current parameters of avehicle suspension. Exploiting the analytical redundancy, different faults,like weak dampers or sensor faults, can be distinguished. For faultdetection the use of parity equations is shown. In addition, a signal-basedapproach is presented which makes a detection of tire pressure losspossible. All presented results were drawn from a test rig or from a drivingcar.
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References
Bußhardt, J., Selbsteinstellende Feder-Dämpfer-Last-Systeme für Kraftfahrzeuge.VDI Fortschritt Berichte, Reihe 12, Nr. 240, 1995.
Frank, P.M., ‘Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy’, Automatica 26(1990) 459–474.
Gertler, J., ‘Survey of model-based failure detection and isolation in complex plants’, IEEE Control Systems Magazine (1988).
Höfling, T. and Pfeufer, T., ‘Detection of additive and multiplicative faults–Parity space vs. parameter estimation,’ IFAC Symp. SAFEPROCESS, Helsinki, Finland, 1994.
Isermann, R., ‘Process fault detection based on modeling and estimation methods–A survey’, Automatica 20(4) (1984) 387–404.
Isermann, R., Identifikation Dynamischer Systeme, Band 12. 2, Auflage, Springer Verlag, Berlin, 1992.
Isermann, R. (Ed.), Überwachung und Fehlerdiagnose, Düsseldorf, VDI-Verlag, 1994.
Isermann, R., ‘Model based fault detection and diagnosis methods’, American Control Conf. 95 (ACC), Seattle, WA, U.S.A., 21–23 June 1995.
Isermann, R. and Ballé, P., ‘Trends in the application of model based fault detection and diagnosis of technical processes’, IFAC World Congress, San Francisco, 1996.
Kammeyer, K.D. and Kroschel, K., Digitale Signalverarbeitung, Teubner Verlag, Stuttgart, 1989.
Leonhardt, S., ‘A parallel algorithm for process identification’, IFAC Symp. on Identification and System Parameter Estimation, Budapest, 1991.
Leonhardt, S., Bußhardt, J., Rajamani, R., Hedrick, K. and Isermann, R., ‘Parameter estimation of shock absorbers with artificial neural networks’ American Control Conf.(ACC), 2–4 June 1995.
Neumann, D., ‘Fault diagnosis of machine-tools by estimation of signal spectra’, IFAC–Symp. SAFEPROCESS '91, Baden Baden, Germany, 1991.
Patton, R.J. and Chen, J., ‘A review of parity space approaches to fault diagnosis’, IFAC–Symp. SAFEPROCESS 191, Baden-Baden, 1991.
Peter, K., Parameteradaptive Regelalgorithmen auf der Basis zeitkontinuierlicher Prozeßmodelle, VDIFortschrittsberichte, Reihe 8(348) VDI-Verlag, Düsseldorf, 1993.
Schmidt, H.-D., Sicher und wirtschaftlich Fahren mit elektronischer Reifenkontrolle, VDI-Berichte, Nr. 687, Düsseldorf: VDI-Verlag 1988, pp. 183–191.
Weispfenning, T. and Leonhardt, S., ‘Model-based identification of a vehicle suspension using parameter estimation and neural networks’, IFAC World Congress 1996, San Francisco, U.S.A., July 1996.
Young, P.C., ‘Parameter estimation for continous time models–a survey’, Automatica 17(1981) 23–29.
Willsky, A.S., ‘A survey of design methods for failure detection systems’, Automatica 12(1976) 601–611.
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Weispfenning, T. Fault Detection and Diagnosis of Components of the Vehicle Vertical Dynamics. Meccanica 32, 459–472 (1997). https://doi.org/10.1023/A:1004212001768
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DOI: https://doi.org/10.1023/A:1004212001768