Experimental Modal Analysis of Motorized Spindle Based on Stochastic Subspace Identification

Jie Meng; Xiao An Chen

doi:10.4028/www.scientific.net/AMM.103.469

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 103Experimental Modal Analysis of Motorized Spindle...

Experimental Modal Analysis of Motorized Spindle Based on Stochastic Subspace Identification

Abstract:

Experimental modal analysis is done to the grinding motorized spindle under 36000r/min. The corresponding theory and experimental plan are introduced. The time domain waveform is gained and the maximum vibration velocity is worked out. Stochastic Subspace Identification (SSI) is applied to study dynamic characteristics of motorized spindle which is running idle, then modal parameters are extracted. The correctness of the experimental method is validated, which has certain referential importance.

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Periodical:

Applied Mechanics and Materials (Volume 103)

Pages:

469-474

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.103.469

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Online since:

September 2011

Authors:

Jie Meng, Xiao An Chen

Keywords:

Dynamic Characteristic, Experimental Modal Analysis, Modal Parameter, Motorized Spindle, Stochastic Subspace Identification

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References

[1] U.C. Gu, C.C. Cheng, Vibration analysis of a high-speed spindle under the action of a moving mass, Journal of Sound and Vibration. 278 (2004)1131-1146.

DOI: 10.1016/j.jsv.2003.10.034

Google Scholar

[2] S. Vafaei, H. Rahnejat, R. Aini, Vibration monitoring of high speed spindles using spectral analysis techniques, Journal of Machine Tools & Manufacture. 42 (2002)1223-1234.

DOI: 10.1016/s0890-6955(02)00049-4

Google Scholar

[3] N.B. Moller, Herlufsen, S. Gade, Stochastic Subspace Identification Techniques in Operational Modal Analysis, Proceedings of 1st IOMAC Conference, Copenhagen, Denmark, 2005, pp.26-27.

Google Scholar

[4] M. Abdelghani, M. Verhaegen, Comparison Study of Subspace Identification Methods Applied to Flexible Structures, Journal of Mechanical Systems and Signal Processing. 12 (1998)679-692.

DOI: 10.1006/mssp.1998.0169

Google Scholar

[5] GuXiang, Modal Experiment and Analysis of Vibration of Agitators, Dissertation, Beijing University of Chemical Technology, (2006).

Google Scholar

[6] PanHongliang, Modal Analysis based on ODS and Stochastic Subspace Identification , Dissertation, Harbin Institute of Technology, (2006).

Google Scholar

[7] XuShidai, Applied Investigation of the Modal Identification for Engineering Structures under going Ambient Excitation, Dissertation, Southeast University, (2006).

Google Scholar

[8] SunJiangang, in: The Research of experimental modal analysis methods based on ambient vibration, Dissertation, Harbin Institute of Technology, (2006).

Google Scholar