Title :
Windows and interpolation algorithms to improve electrical measurement accuracy
Author :
Andria, Gregorio ; Savino, Mario ; Trotta, Amerigo
Author_Institution :
Dept. of Electrotech. & Electron., Bari Univ., Italy
fDate :
8/1/1989 12:00:00 AM
Abstract :
An FFT-based measurement technique, which can be easily used to determine accurately the frequency, amplitude, and phase of all the harmonic and interharmonic components of a distorted signal, is examined. Suitable windows and interpolation algorithms are examined in order to reduce undesirable effects due to spectral leakage caused by a sampling process that is not synchronized. Several results concerning the application of different windows on a set of simulated signals are compared to verify the capability of the proposed procedure. The influence of the noise is examined to study the filtering properties of the weighting functions
Keywords :
computerised signal processing; fast Fourier transforms; frequency measurement; harmonic analysis; interpolation; phase measurement; power engineering computing; power system measurement; spectral analysis; FFT; amplitude; computerised signal processing; distorted signal; electrical measurement accuracy; filtering; frequency; harmonic; interharmonic components; interpolation algorithms; nonsinusoidal signal analysis; phase; power system measurement; sampling process; simulated signals; spectral leakage; weighting functions; windows; Current measurement; Distortion measurement; Electric variables measurement; Frequency synchronization; Harmonic distortion; Interpolation; Power harmonic filters; Power system analysis computing; Power system harmonics; Signal sampling;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
