Extraction Feature of Gas Flucturation of Guideway System Based on the Wavelet Transform

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Abstract:

A new method for extracting spectrum feature of gas flucturation of aerostatic guideway is proposed. The flatness error of workpiece surface includes much errors information, and the information contains high frequency signal and low frequency signal, for these errors information, a new identification method of turning errors of workpiece based on the wavelet transform and power spectral density analysis is proposed. According to the focal variation character of wavelet and the energy value of power spectral density analysis, the feature of gas flucturation of aerostatic guideway from the measured flatness error of workpiece is extracted and identified.

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Periodical:

Advanced Materials Research (Volumes 415-417)

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720-723

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December 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.G. Mallat. A theory for multiresolution signal decomposition: the wavelet representation. IEEE. Transactions on Pattern Analysis and Machine Intelligence, Vol,11(1989), pp.674-693.

DOI: 10.1109/34.192463

Google Scholar

[2] I. Daubechies. Orthonormal bases of compactly supported wavelets. Communications on Pure and Applied Math, Vol,41(1988),pp.909-996.

DOI: 10.1002/cpa.3160410705

Google Scholar

[3] X. S. Wen, X. Chen, B.Y. Tang. Dynamic analysis and applications of mechanical systems, National Defense University Press, Changsha, (1998), in press.

Google Scholar

[4] K. D. Hurst, T. G. Habetler. Sensorless speed measurement using Current harmonics spectral estimation in induction machines drives. IEEE Transactions on Power Electronics, Vol.11 (1996), pp.66-73.

DOI: 10.1109/63.484418

Google Scholar

[5] W. B. Lee, C. F. Cheung, S. To. A microplasticity analysis of micro-cutting force variation in ultra-precision diamond turning. Journal of Manufacturing Science and Engineering, Vol.124(2002), pp.170-177.

DOI: 10.1115/1.1454108

Google Scholar