2012Electrical Measurement & InstrumentationRequires access

Application of All Phase FFT Algorithm in Harmonic Measurement

Xing Yin

Open publisher page 0 citations

Abstract

The result of the traditional FFT algorithm can be corrected through some methods,such as the FFT window interpolation algorithm,the ratio method and so on.However,the test accuracy is limited and there is one larger measurement error that affect the accuracy of harmonic analysis.Based on the method of discrete spectrum correction,this paper studies a new correction method-All phase FFT algorithm.This algorithm can automatically search for the peak of each harmonic,and it can effectively improve the power of the harmonic frequency,phase and amplitude accuracy.In this paper,with the matlab tool,comparing the two methods,the results show that the All phase FFT algorithm is simple,practical and high precision,especially for the detection of inter-harmonics.It can effectively prevent spectral leakage and has a strong anti-interference ability.

About this research paper

What this paper is about

The result of the traditional FFT algorithm can be corrected through some methods,such as the FFT window interpolation algorithm,the ratio method and so on.However,the test accuracy is limited and there is one larger measurement error that affect the accuracy of harmonic analysis.Based on the method of discrete spectrum correction,this paper studies a new correction method-All phase FFT algorithm.This algorithm can automatically search for the peak of each harmonic,and it can effectively improve the power of the harmonic frequency,phase and amplitude accuracy.In this paper,with the matlab tool,comparing the two methods,the results show that the All phase FFT algorithm is simple,practical and high precision,especially for the detection of inter-harmonics.It can effectively prevent spectral leakage and has a strong anti-interference ability.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The result of the traditional FFT algorithm can be corrected through some methods,such as the FFT window interpolation algorithm,the ratio method and so on.However,the test accuracy is limited and there is one larger measurement error that affect the accuracy of harmonic analysis.Based on the method of discrete spectrum correction,this paper studies a new correction method-All phase FFT algorithm.This algorithm can automatically search for the peak of each harmonic,and it can effectively improve the power of the harmonic frequency,phase and amplitude accuracy.In this paper,with the matlab tool,comparing the two methods,the results show that the All phase FFT algorithm is simple,practical and high precision,especially for the detection of inter-harmonics.It can effectively prevent spectral leakage and has a strong anti-interference ability.

Key concepts: Fast Fourier transform, Spectral leakage, Harmonics, Algorithm, Split-radix FFT algorithm, Interpolation (computer graphics), MATLAB, Harmonic

Related papers

Back to paper searchBrowse research topicsOriginal source
Application of All Phase FFT Algorithm in Harmonic Measurement — Research Paper | ScholarLens