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This paper presents numerical analyzes of a hydrodynamically supported rotor for purpose of fault detection with use of a parametric model-based approach. The significant increase of bearing load is considered as a faulty condition. The nonlinear and time varying diagnostic model is identified with use of Levenberg-Marquardt method. The transfer function model is instantaneously extracted from the considering nonlinear diagnostic model. The extraction is conducted based on the instantaneous linearization method for each discrete time interval. In the next step parameters are transformed into functions of natural frequencies and damping ratios vs. time. This method allows tracking changes of model parameters providing more sensitive detection of feasible malfunctions. The simulation of rotor-support model was conducted to generate numerical data for the experiment.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
23--34
Opis fizyczny
Bibliogr. 11 poz., wykr.
Twórcy
autor
- Tenneco Automotive - Eastern European Engineering Center - EEEC, Gliwice, piotr.czop@taenu.com
Bibliografia
- 1. Barszcz, T., Czop, P., 2004, System identification and its limitations relating to the diagnosis of rotating machinery faults, Proceedings of the 10th IEEE International Conference on Methods and Models in Automation and Robotics, Międzyzdroje, Poland.
- 2. Czop, P., 2001, Diagnostic models of rotating machinery under transient operating conditions, Monograph, Technical University, Gliwice.
- 3. Frene, J., Nicolas, D., Deguerce, B., Berthe, D., Godet, M., 1997, Hydrodynamic Lubrication, Bearings and Thrust Bearings, Elsevier.
- 4. Kurnik, W., 1997, Divergence and Vibration Bifurcations (original title in Polish: Bifurkacje dywergentne i oscylacyjne), PWN, Warsaw.
- 5. LABMOD, RM Blockset User’s Guide, 2001.
- 6. Ljung, L., 1999, System Identification - Theory for the User, Prentice-Hall.
- 7. Mahrenholtz, O. (ed.), 1984, Dynamics of Rotors, Stability and System Identification, Springer-Verlag.
- 8. Muszyńska, A., 1995, Vibrational Diagnostics of Rotating Machinery Malfunctions. The Course on Rotor Dynamics and Vibration in Turbomachinery, von Karman Institute for Fluid Dynamics, Belgium, 21-25 September 1992, International Journal of Rotating Machinery, 1, No 3-4, 237-266.
- 9. Norgaard, M., Ravn, O., Poulsen, N.K., Hansen, L.K., 2000, Neural network for modelling and control of dynamic systems, Springer-Verlag, London.
- 10. Przybyłowicz, P.M., 2002, Active stabilization of a rigid rotor by a piezoelectrically controlled mobile journal bearing system, Sixth International Conference on Rotor Dynamics Proceedings, Sydney, Australia, 79-84.
- 11. Xia, S., Wang, L., Huang, W., Hu, C., Jiao, Y., 2002, A method for analyzing the dynamic behavior of rotor-bearing systems with nonlinear supports, Sixth International Conference on Rotor Dynamics Proceedings, Sydney, Australia, 471-478.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0002-0079