Model Reduction of Rotor-Bearing-Foundation Systems of Rotating Machines

Start year: 2002

Summary: Accurate condition monitoring of rotating machinery is essential to operational safety and reliability; and vibration analysis software for this assumes an accurate rotor model. Identification of the foundation also depends on an accurate rotor model. However, for computational efficiency it is often necessary to reduce the number of rotor degress of freedom and this research evaluates theoretically and experimentally which of several proposed rotor model reduction schemes is optimal insofar as identification of rotor unbalance and alignment state are concerned. Such improved rotor models, enabling improved rotor balance and alignment, will significantly improve turbomachinery performance and provide significant cost savings.

Keywords: Rotor model reduction; Machine condition monitoring; Turbomachinery vibration; Rotor unbalance identification; Rotor configuration state identification; Rotor bearing foundation systems

FOR Codes: Mechanical Engineering, Coal-electricity

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