Title :
Frequency characteristic and its application of the cell resistance in aluminum electrolysis
Author :
Shuiping, Zeng ; Lei, Ding
Author_Institution :
Autom. Dept., North China Univ. of Technol., Beijing, China
Abstract :
The cell resistance signals from different cell status were analyzed by both the Fast Fourier Transformation (FFT) and power spectrum density (PSD) estimate based on AR model in order to obtain the frequency characteristics of the signals. By comparing the frequency characteristic, the source of the frequency was indicated. Results showed the main frequency domain of the cell resistance is below 0.1Hz and there was a stable low frequency signal caused by the variation of alumina content and the regulation of polar distance in the electrolysis operation; When the fluid aluminum fluctuated quickly, there was an obvious wave crest in higher frequency; when anode is abnormal, there were two obvious wave crests in higher frequency.
Keywords :
alumina; aluminium; cells (electric); electrolysis; fast Fourier transforms; frequency-domain analysis; signal processing; AR model; FFT estimation; PSD estimation; abnormal anode; alumina content variation; aluminum electrolysis; cell resistance application; cell resistance signals; cell status; fast Fourier transformation; fluid aluminum fluctuation; frequency characteristics; frequency source; polar distance regulation; power spectrum density estimation; Aluminum; Anodes; Electrochemical processes; Fluctuations; Frequency domain analysis; Noise; Resistance; aluminum electrolysis; cell resistance; frequency;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295050
