| Summary: | 碩士 === 國立高雄海洋科技大學 === 輪機工程研究所 === 100 === For rotor machinery, the different defect is induced at the different operation condition. However, it can be identified qualitatively and quantitatively by monitoring the machine vibration and suitable prediction method. In this paper, the simple, feasible and accurate identification process is developed to obtain the unbalance of the rotor system. First, the mathematical model of Jeffcott rotor is chosen to be the based model. Using the Matlab/Simulink software, the complicated programming for deriving the vibrating characteristics can be transformed to the graphical model. At the same time, the experiment data is measured from the single rotor bearing test instrument and conducted to the Matlab program. Finally, the unbalance of rotor is predicted by the nonlinear regression analysis.
The numerical errors of rotor eccentricity between the adopted method (experiment data) and theoretical model are less than 25% in the various rotor speeds. For the different rotor eccentricity, the average numerical error is only 7.82%. It is shown that good accuracy and feasibility is provided in this process, and the method may be concerned to industry implementation.
Keywords：Rotor-Bearing System, Eccentricity, Nonlinear Regression Analysis
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