Application of Mathematical Morphology Filter in Non-Stationary Signal of the Spindle Dynamic Balance Regulator Online Adjustment Process

Abstract:

The signal which is generated by the dynamic balance regulator for unbalanced spindle in the process of adjustment, having strong nonstationarity. The traditional signal processing methods could not deal with these signals, but also could not express the processing of signal changes. Aiming at the problem, a method combining mathematical morphology filter and the short-time Fourier transform is applied in the non-stationary signal processing in this paper. Using mathematical morphology filter could reduce the noise of spindle vibration signal, and improve the SNR. The amplitude of spindle vibration signal could be got by means of short-time Fourier transform method. Utilized the method proposed in this paper, non-stationary signal of the spindle dynamic balance regulator online adjustment process has been analysed, the results of the experiment show the feasibility of the method.

• Periodical: Applied Mechanics and Materials (Volume 443)
• Pages: 150-154
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.443.150
• Online since: October 2013
• Authors: Zheng Bang Hu, Dong Sheng Zhang, Mu Xun Xu*, Tao Tao
• Keywords: Mathematical Morphology Filter, Non-Stationary Signal, Short-Time Fourier Transform, Spindle

References

[1] A. Zahedi, M.R. Movahhedy. Thermo-mechanical modeling of high speed spindles, Scientia Iranica Trans. B: Mechanical Engineering, 19(2)(2012), pp.282-293.

DOI: 10.1016/j.scient.2012.01.004

[2] Liao Y.H., Lang G.F., Wu F.J., An improvement to holospectrum based field balancing method by reselection of balancing object, Journal of Vibration and Acoustics, Trans. of the ASME, 131(3)(2009), pp.0310051-0310057.

DOI: 10.1115/1.3085880

[3] Lees, A.W., Sinha, J.K., Friswell, M.I., The identification of the unbalance of a flexible rotating machine from a single rundown, Journal of Engineering for Gas Turbines and Power, 126(2)( 2004), pp.416-421.

DOI: 10.1115/1.1691441

[4] Y. Zhang, D.S. Zhang, M.X. Xu, Research on accuracy improvement of holospectrum technique in machine tool spindle, Advances in Communication Technology, 4(2011), pp.598-603.

[5] Y. Zhang, X.S. Mei, D.L. Zou, et al, A new Field Unbalance Estimation Method for Flexible Rotors, Proc. of the ASME 2011 Int. Mech. Eng. Con. & Exp., Denver, Colorado, USA(2011).

[6] SERRA J., Morphological filtering: an overview, Signal Processing, 38(1) (1994), pp.3-11.

[7] S. j. Dong, B. p. Tang, Y. Zhang, A repeated single-channel mechanical signal blind separation method based on morphological filtering and singular value decomposition, Measurement, 45(2012) , p.2052-(2063).

DOI: 10.1016/j.measurement.2012.05.003

[8] F. Jurado, J. R Saenz, Comparison between discrete STFT and wavelets for the analysis of power quality events, Electric Power Systems Research, 62(3) (2002), pp.183-190.

DOI: 10.1016/s0378-7796(02)00035-4