Publication detail

Two-dimensional correction of data measured using a large pressure sensor

POHANKA, M.

Original Title

Two-dimensional correction of data measured using a large pressure sensor

English Title

Two-dimensional correction of data measured using a large pressure sensor

Type

conference paper

Language

en

Original Abstract

This paper describes how to obtain precise results using a real finite.size pressure sensor. In some cases, the impact distribution is very small or at least very narrow. Measuring such distributions with a pressure sensor, which is not small enough, results in incorrect data. The pressure is being averaged during the measurement and the shape of the obtained spray distribution is larger and the measured pressure maximum is lower than the real one. This paper describes how to correct the measured spray distribution. A two-dimensional fast Fourier Transformation (FFT) is used to convert both the measured data and pressure sensor to the frquency domain. The correction of the measured spray distribution is done in the frequency domain and then an inverse two-dimensional FFT is used to convert the data back to the space domain. This allows suppressing noise in the measured data that would be extremely amplified. Very good results are presented using both the artificial and real data.

English abstract

This paper describes how to obtain precise results using a real finite.size pressure sensor. In some cases, the impact distribution is very small or at least very narrow. Measuring such distributions with a pressure sensor, which is not small enough, results in incorrect data. The pressure is being averaged during the measurement and the shape of the obtained spray distribution is larger and the measured pressure maximum is lower than the real one. This paper describes how to correct the measured spray distribution. A two-dimensional fast Fourier Transformation (FFT) is used to convert both the measured data and pressure sensor to the frquency domain. The correction of the measured spray distribution is done in the frequency domain and then an inverse two-dimensional FFT is used to convert the data back to the space domain. This allows suppressing noise in the measured data that would be extremely amplified. Very good results are presented using both the artificial and real data.

Keywords

pressure sensor,two-dimensional correction,frequency domain

RIV year

2004

Released

23.05.2003

Publisher

Witpress

Location

Londýn

ISBN

1-85312-969-0

Book

Computational Methods and Experimental Measurements XI

Edition

Neuveden

Edition number

1

Pages from

86

Pages to

84

Pages count

9

URL

Documents

BibTex


@inproceedings{BUT13512,
  author="Michal {Pohanka}",
  title="Two-dimensional correction of data measured using a large pressure sensor",
  annote="This paper describes how to obtain precise results using a real finite.size pressure sensor. In some cases, the impact distribution is very small or at least very narrow. Measuring such distributions with a pressure sensor, which is not small enough, results in incorrect data. The pressure is being averaged during the measurement and the shape of the obtained spray distribution is larger and the measured pressure maximum is lower than the real one. This paper describes how to correct the measured spray distribution. A two-dimensional fast Fourier Transformation (FFT) is used to convert both the measured data and pressure sensor to the frquency domain. The correction of the measured spray distribution is done in the frequency domain and then an inverse two-dimensional FFT is used to convert the data back to the space domain. This allows suppressing noise in the measured data that would be extremely amplified. Very good results are presented using both the artificial and real data.",
  address="Witpress",
  booktitle="Computational Methods and Experimental Measurements XI",
  chapter="13512",
  edition="Neuveden",
  howpublished="print",
  institution="Witpress",
  journal="Journal of the Chinese Society of Mechanical Engineers",
  year="2003",
  month="may",
  pages="86--84",
  publisher="Witpress",
  type="conference paper"
}