Fast Fourier transform analysis of sounds made while swallowing various foods

2012 ◽  
Vol 132 (4) ◽  
pp. 2478-2482 ◽  
Author(s):  
Mitsuru Taniwaki ◽  
Kaoru Kohyama
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Fast Fourier Transform Analysis

scholarly journals Differentiating solid, non-macroscopic fat containing, enhancing renal masses using fast Fourier transform analysis of multiphase CT

2018 ◽  
pp. 20170789 ◽  
Author(s):  
Bino A Varghese ◽  
Frank Chen ◽  
Darryl H Hwang ◽  
Steven Y Cen ◽  
Inderbir S Gill ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Renal Masses ◽  
Fast Fourier Transform Analysis ◽  
Multiphase Ct

scholarly journals A fast fourier transform analysis of coronary reperfusion-induced ventricular fibrillation and the modification by dibutyryl cyclic amp in a cat model

1992 ◽  
Vol 15 (10) ◽  
pp. 733-738 ◽  
Author(s):  
Noritami Tashiro ◽  
Kouichirou Kumagai ◽  
Yoshio Yamanouchi ◽  
Kunihiro Matsuo ◽  
Tadayuki Hiroki ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Ventricular Fibrillation ◽  
Cyclic Amp ◽  
Fast Fourier Transform ◽  
Coronary Reperfusion ◽  
Dibutyryl Cyclic Amp ◽  
Fast Fourier Transform Analysis ◽  
Cat Model

Fast Fourier Transform Analysis of Pore Pattern in Anodized Alumina Formed at Various Conditions

2005 ◽  
Vol 5 (12) ◽  
pp. 2070-2075 ◽  
Author(s):  
YeswanthL. Rao ◽  
Venkataramani Anandan ◽  
Guigen Zhang
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Fast Fourier Transform Analysis

scholarly journals Diagnosis of rotor faults by fast Fourier transform using an auxiliary winding voltage

2021 ◽  
Vol 24 (2) ◽  
pp. 680
Author(s):  
Yakout Khadouj Jelbaoui ◽  
Lamiaa El Menzhi ◽  
Abdallah Saad
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Early Stage ◽  
Induction Machine ◽  
Load Level ◽  
Maintenance Cost ◽  
Fast Fourier Transform Analysis ◽  
Squirrel Cage ◽  
On Line ◽  
System Breakdown

<p>Condition monitoring and on-line detection have attracted several researchers in order to carry out an efficient diagnosis of machine failures. Therefore, the detection in early stage avoids system breakdown and reduce the maintenance cost. This paper presents a new diagnosic approach to detect the broken bars and broken end ring faults for a squirrel cage induction machine based on the fast Fourier transform analysis applied on a new signature as the voltage of an auxiliary winding. The auxiliary winding is a small coil inserted between two of the stator phases, the explicit expression of its voltage is presented. The signal is monitored in six faults cases under a different load level, the emergence of the fault frequencies changes for each kind of failure. The successfully simulation results obtained show the effectiveness of this approach.</p>

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