95. Integration on acceleration signals by adjusting with envelopes
Yanli Yang1, Yanfei Zhao2, Dali Kang3
1, 2School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China
3Dalian ShengLiLai Monitoring Technology Co., Ltd., Dalian 116031, China
E-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org
(Received 12 March 2016; accepted 31 May 2016)
Abstract. Direct integration of acceleration often causes unrealistic drifts in velocity and displacement. A method of integration on acceleration data to acquire realistic velocity and displacement is proposed. In this approach, drifts are estimated by using the mean of the upper and lower envelopes of signals after integration from acceleration into velocity and displacement. The experimental results obtained by using simulated data and real world signals are presented to demonstrate the effectiveness of the method.
Keywords: numerical integration, acceleration, displacement, envelope, signal processing.
 Gilbert H. B., Ozkan O., Malley M. K. Long-term double integration of acceleration for position sensing and frequency domain system identification. International Conference on Advanced Intelligent Mechatronics, Montréal, Canada, 2010.
 Yang J., Li J. B., Lin G. A simple approach to integration of acceleration data for dynamic soil‑structure interaction analysis. Soil Dynamics and Earthquake Engineering. Vol. 26, Issue 8, 2006, p. 725‑734.
 Smyth A., Wu M. L. Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring. Mechanical Systems and Signal Processing, Vol. 21, Issue 2, 2007, p. 706‑723.
 Coelho B., Hölscher P., Barends F. Enhancement of double integration procedure through spectral subtraction. Soil Dynamics and Earthquake Engineering, Vol. 31, Issue 31, 2011, p. 716‑722.
 Huang N. E., Shen Z., Long S. R., et al. The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Vol. 454, 1998, p. 903‑995.
 Yang Y. L., Miao C. Y., Deng J. H. An analytical expression of empirical mode decomposition based on B-spline interpolation. Circuits, Systems and Signal Processing, Vol. 32, Issue 6, 2013, p. 2899‑2914.
 Yang Y. L., Deng J. H., Tang W. C., Wu C. P., Kang D. L. Nonuniform extrema resampling and empirical mode decomposition. Chinese Journal of Electronics, Vol. 18, Issue 4, 2009, p. 759‑762.
 Yang Y. L. Theoretical Analysis and Application Investigation of Empirical Mode Decomposition (Ph.D. Dissertation). School of Mechatronic Engineering, Beijing Institute of Technology, Beijing, China, 2010.
 Thong Y. K., Woolfson M. S., Crowe J. A., et al. Numerical double integration of acceleration measurements in noise. Measurement, Vol. 36, Issue 1, 2004, p. 73‑92.
 Arraigada M., Partl M. Calculation of displacements of measured accelerations, analysis of two accelerometers and application in road engineering. 6th Swiss Transport Research Conference, 2006.
Cite this article
Yang Yanli, Zhao Yanfei, Kang Dali Integration on acceleration signals by adjusting with envelopes. Journal of Measurements in Engineering, Vol. 4, Issue 2, 2016, p. 117‑121.
Journal of Measurements in Engineering. June 2016, Volume 4, Issue 2
© JVE International Ltd. ISSN Print 2335-2124, ISSN Online 2424-4635, Kaunas, Lithuania