Open AccessThe Ability of the Fast Fourier Transform to De-Noise a Strain Signal
Author(s) -
T. E. Putra,
Husaini Husaini,
Desy Asrina,
M. Dirhamsyah
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/931/1/012011
Subject(s) - signal (programming language) , noise (video) , fourier transform , amplitude , strain (injury) , acoustics , fast fourier transform , computer science , short time fourier transform , fourier analysis , algorithm , speech recognition , mathematics , physics , artificial intelligence , mathematical analysis , optics , medicine , image (mathematics) , programming language
This study aims to develop an algorithm for filtering the noise in the fast Fourier transform. It requires the determination of the cycles, based on the rain flow counting method. This design was further applied to remove the lower amplitude cycles in a 60-second strain signal. Therefore, the results indicated that the method was able to remove more than 10% of the lower amplitude cycles at a frequency of 45 Hz. The filtered strain signal maintained the fatigue damage by more than 90% and further upheld its original characteristics. This study concluded that the developed algorithm was able to identify and remove the noise contained in the strain signal.