Title :
Estimation of slag foaming height from vibration signals in electric arc furnaces
Author :
Jeong, Jae Jin ; Ban, Sung Jun ; Kim, Sang Woo
Author_Institution :
Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
Abstract :
In this study, we estimated slag foaming height from the vibration signal in an electric arc furnace (EAF). A fast Fourier transform (FFT) was used to determine the characteristics of the vibration signal in frequency spectrum. The reference height was obtained by analyzing an image of the slag gate. Finally, we developed an estimation model by using the least mean square (LMS) algorithm on the basis of these data.
Keywords :
arc furnaces; fast Fourier transforms; least mean squares methods; slag; vibrations; EAF; FFT; LMS; electric arc furnace; electric arc furnaces; fast Fourier transform; least mean square; slag foaming height estimation; vibration signals; Atmosphere; Cameras; Data acquisition; Filters; Frequency; Furnaces; Sensor systems; Signal processing; Slag; Vibration measurement;
Conference_Titel :
Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on
Conference_Location :
Chaing Mai
Print_ISBN :
978-1-4244-5606-2
Electronic_ISBN :
978-1-4244-5607-9
