Adaptive Chirp Transform for frequency measurement

► In this paper new Adaptive Chirp Transform (ACT) is proposed for power frequency measurement. ► Results of analysis are showing that ACT has a significantly lower number of operations compared to classic CZT. ► ACT is very fast method which is able to determine frequency of non-stationary sinus si...

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Published inMeasurement : journal of the International Measurement Confederation Vol. 45; no. 3; pp. 268 - 275
Main Authors Mostarac, Petar, Malarić, Roman, Hegeduš, Hrvoje
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.04.2012
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ISSN0263-2241
1873-412X
DOI10.1016/j.measurement.2011.12.005

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Abstract ► In this paper new Adaptive Chirp Transform (ACT) is proposed for power frequency measurement. ► Results of analysis are showing that ACT has a significantly lower number of operations compared to classic CZT. ► ACT is very fast method which is able to determine frequency of non-stationary sinus signal. In this paper Adaptive Chirp Transform (ACT) algorithm for power frequency measurement is presented. It is adjusted for continuous monitoring of power frequency. Signal is first preprocessed with adaptive filter to minimize the error of non-linear model parameters. The resulting parameters are used to narrow the frequency range for CZT method to be effective. Algorithm code has been analyzed and computation complexity has been significantly decreased. Using this algorithm it is possible to measure frequency transients with sufficient accuracy and low execution time. Algorithm is verified through simulations and real-time data.
AbstractList In this paper Adaptive Chirp Transform (ACT) algorithm for power frequency measurement is presented. It is adjusted for continuous monitoring of power frequency. Signal is first preprocessed with adaptive filter to minimize the error of non-linear model parameters. The resulting parameters are used to narrow the frequency range for CZT method to be effective. Algorithm code has been analyzed and computation complexity has been significantly decreased. Using this algorithm it is possible to measure frequency transients with sufficient accuracy and low execution time. Algorithm is verified through simulations and real-time data.
► In this paper new Adaptive Chirp Transform (ACT) is proposed for power frequency measurement. ► Results of analysis are showing that ACT has a significantly lower number of operations compared to classic CZT. ► ACT is very fast method which is able to determine frequency of non-stationary sinus signal. In this paper Adaptive Chirp Transform (ACT) algorithm for power frequency measurement is presented. It is adjusted for continuous monitoring of power frequency. Signal is first preprocessed with adaptive filter to minimize the error of non-linear model parameters. The resulting parameters are used to narrow the frequency range for CZT method to be effective. Algorithm code has been analyzed and computation complexity has been significantly decreased. Using this algorithm it is possible to measure frequency transients with sufficient accuracy and low execution time. Algorithm is verified through simulations and real-time data.
Author Mostarac, Petar
Malarić, Roman
Hegeduš, Hrvoje
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CitedBy_id crossref_primary_10_1016_j_measurement_2017_11_048
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10.1109/IMTC.2010.5488181
10.2478/v10048-011-0019-9
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10.1109/TAU.1969.1162034
10.1109/19.137352
10.1109/19.997826
10.1109/CPEM.2010.5544520
10.1016/j.measurement.2008.04.013
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Keywords Interpolated discrete Fourier transform
Chirp-z transform
Frequency measurement
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Snippet ► In this paper new Adaptive Chirp Transform (ACT) is proposed for power frequency measurement. ► Results of analysis are showing that ACT has a significantly...
In this paper Adaptive Chirp Transform (ACT) algorithm for power frequency measurement is presented. It is adjusted for continuous monitoring of power...
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SubjectTerms Adaptive filters
Algorithms
Chirp
Chirp-z transform
Computer simulation
Frequency measurement
Frequency ranges
Interpolated discrete Fourier transform
Mathematical models
monitoring
nonlinear models
Transforms
Title Adaptive Chirp Transform for frequency measurement
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