The problem of estimating the state of a turbopump rotating assembly and identifying unknown products of inertia and unknown bearing parameters is considered. A linearized, extended Kalman filtering approach has been used and found to be successful for both state estimation and parameter identification in an inherently nonlinear problem. The input data was simulated Bently test data which was obtained from a verified 12-dimensional state-space model and was compared with real Bently test data obtained from NASA. The results prove the feasibility of using this model and this type of test data to obtain the hidden parameters of a typical turbopump rotating assembly. This method should lead to improved performance by allowing improved balancing of the rotor and giving improved knowledge of the bearing reactions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Indentification of rotating assembly inertial and bearing parameters


    Weitere Titelangaben:

    Die Identifizierung der Traegheits- und der Lagerkenngroessen von umlaufenden Einrichtungen


    Beteiligte:
    Alspaek, D.L. (Autor:in)


    Erscheinungsdatum :

    1972


    Format / Umfang :

    7 Seiten, 9 Bilder, 5 Quellen



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch





    Structural Micro-Damage Indentification

    Chang, J. / Kim, N. / Lee, U. et al. | British Library Conference Proceedings | 2000


    Autonomous Frequency-Domain Indentification

    Mettler, Edward / Yam, Yeung / Bayard, David S. et al. | NTRS | 1992


    Indentification of Noise Sources

    Baade,P.K. / Carrier Corp.,Res.Div.,Syracuse,US | Kraftfahrwesen | 1975


    FAULT SOURCE PARAMETER INDENTIFICATION

    ATALLA MAURO J / WIEGELE THOMAS G / ANDERSON KAARE JOSEF et al. | Europäisches Patentamt | 2023

    Freier Zugriff