A Practical Data Processing Analysis for Water Impact Problem

DOI

10.2991/icseee-15.2016.42How to use a DOI?

Keywords

Water Impact; Data assessment; Filtering; Cutoff frequency; Low-pass filter.

Abstract

The paper presents a practical data processing methodology to smooth away high frequency noise for water impact problem. At first, original experimental data analysis is employed to design the real time low-pass filter, especially for the cutoff frequency of the filter. At the same time, velocity-time histories based on integration of acceleration signal are utilized to carry out the data assessment. Moreover, the desired cut-off frequency is selected in the pulse checking segment, comparing the velocity or displacement time histories between the original and the reconstructed pulses. Finally, it is helpful to design a desired low-pass filter used to post-process acceleration data and implement the simulation model validation.

Copyright

© 2016, 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  - Yonghu Wang
PY  - 2016/04
DA  - 2016/04
TI  - A Practical Data Processing Analysis for Water Impact Problem
BT  - Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering
PB  - Atlantis Press
SP  - 240
EP  - 243
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-15.2016.42
DO  - 10.2991/icseee-15.2016.42
ID  - Wang2016/04
ER  -