Application Of Spline Interpolation Filter In Strip Flatness Detection

DOI

10.2991/jimec-17.2017.82How to use a DOI?

Keywords

vibrations; dolph-chebyshev window; piecewise cubic spline interpolation; flatness; fir low-pass filter.

Abstract

According to the analyzing of the vibrations in steel strips and its effect on flatness measurement based on the non-contact strip-flatness detection method, a vibration removing method is presented. The method firstly adopts FIR low-pass filter based on Dolph-Chebyshev Window function designing theory to remove the high frequency noise in the primitive flatness measurement data. As to consider the influence of random noise, there is additional noise message in low frequency range of flatness measurement data. Therefore, the method adopts piece-wise cubic spline interpolation to revise the data processed by low-pass filter. Application results show that the method have satisfied reliability, can effectively shorten the influence that the strip vibration caused on flatness measurement.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Biao Cao
AU  - ZhiQiang He
AU  - Lin Yang
AU  - LiXi Zhang
PY  - 2017/10
DA  - 2017/10
TI  - Application Of Spline Interpolation Filter In Strip Flatness Detection
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 372
EP  - 377
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.82
DO  - 10.2991/jimec-17.2017.82
ID  - Cao2017/10
ER  -