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Reseach Article

Study for Selection of Optimal Filtering Method for Vibration Signals

Published on June 2013 by Shivalika Singh, S. Mangal, B.k. Sinha, B. Chakraborty
International Conference on Communication, Circuits and Systems 2012
Foundation of Computer Science USA
IC3S - Number 4
June 2013
Authors: Shivalika Singh, S. Mangal, B.k. Sinha, B. Chakraborty
952343db-cf54-496f-914d-7464f2d8cf2b

Shivalika Singh, S. Mangal, B.k. Sinha, B. Chakraborty . Study for Selection of Optimal Filtering Method for Vibration Signals. International Conference on Communication, Circuits and Systems 2012. IC3S, 4 (June 2013), 21-24.

@article{
author = { Shivalika Singh, S. Mangal, B.k. Sinha, B. Chakraborty },
title = { Study for Selection of Optimal Filtering Method for Vibration Signals },
journal = { International Conference on Communication, Circuits and Systems 2012 },
issue_date = { June 2013 },
volume = { IC3S },
number = { 4 },
month = { June },
year = { 2013 },
issn = 0975-8887,
pages = { 21-24 },
numpages = 4,
url = { /proceedings/ic3s/number4/12308-1354/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication, Circuits and Systems 2012
%A Shivalika Singh
%A S. Mangal
%A B.k. Sinha
%A B. Chakraborty
%T Study for Selection of Optimal Filtering Method for Vibration Signals
%J International Conference on Communication, Circuits and Systems 2012
%@ 0975-8887
%V IC3S
%N 4
%P 21-24
%D 2013
%I International Journal of Computer Applications
Abstract

Vibration is the motion of a rigid or elastic body about an equilibrium point, occurring nearly in all physical bodies and generally is unwanted beyond a specified threshold value for different applications. Elimination of such spurious signals, in signal processing, can be done using functional blocks called filters. In the present paper, analysis of the response of acquired vibration signal upon passing through five different types of filters and other virtual instruments (VI's) available on LabVIEW has been discussed. Acquisition process here, has been carried out using PCB Piezotronics accelerometer (Model No: 352C66) and 24-bit dynamic signal acquisition hardware DAQ-CARD (NI PCI 4472)) while filtering has been done in LabVIEW environment by synthesis on a VI which is a prototype of the actual set-up of a sound and vibration analyzer. An appropriate choice among the filters has been made such that it gives an effective trade-off between time and frequency domain responses.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Ni Labview Accelerometer Pci 4472 Virtual Instruments (vi)