Czasopismo
2007
|
Vol. 14, nr 2
|
205-218
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Języki publikacji
Abstrakty
A method for precise root mean square (RMS) measurement of periodic signals based on signal reconstruction is analysed. The RMS value of a signal under test is determined in three steps. In the first step, the Fourier coefficients are estimated from integrative samples, in the second step the estimators are corrected, using the method of least squares with constraints and precision measurement of rectified signal average, and in the third step the RMS value is calculated from the Fourier coefficient estimators. Properties of integrative samples are analysed and the problem of choosing the optimal integration time is discussed. It is shown that this approach, optimal reconstruction with correction, considerably increases the accuracy of the RMS measurements of low frequency signals.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
205-218
Opis fizyczny
Bibliogr. 5 poz., wykr., tab.
Twórcy
autor
- Wrocław University of Technology, Poland, andrzej.muciek@pwr.wroc.pl
Bibliografia
- 1. Pogliano U.: Precision measurement of AC voltage below 20 Hz at IEN, IEEE Trans. on Instrum. and Meas., vol. 46, no. 2, pp. 369–372, 1997.
- 2. Pogliano U.: Evaluation of the uncertainties in the measurement of distorted power by means of the IEN sampling system. IEEE Trans. on Instrum. and Meas., vol. 55, no. 2, pp. 620–624, 2006.
- 3. Muciek A.: A method for precise RMS measurements of periodic signals by reconstruction technique with correction, IEEE Trans. on Instrum. and Meas., vol. 56, no. 2, pp. 513–516, 2007.
- 4. Seber G.: Linear Regression Analysis. New York: John Wiley & Sons, N.Y. 1977.
- 5. Baher H.: Analog and Digital Signal Processing, John Wiley & Sons, N.Y. 1990.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0033-0002