DocumentCode :
3319863
Title :
The Application of Wavelet Threshold De-noising in the Aluminum Reduction Cell Electrolyte Temperature Data
Author :
Ren, Aili ; Li, Jinhong
Author_Institution :
Inf. Eng. Sch., North China Univ. of Technol., Beijing, China
fYear :
2009
fDate :
28-29 Dec. 2009
Firstpage :
239
Lastpage :
241
Abstract :
The importance of the aluminum reduction cell´s electrolytic temperature, the element principles of the wavelet threshold de-noising and advantages and disadvantages of the various thresholds are introduced in this paper. And then, the noise from the electrolytic temperatures of the aluminum reduction cell is eliminated by experiments and it provides a reliable data.
Keywords :
aluminium industry; data mining; electrolytes; production management; wavelet transforms; aluminum reduction cell; electrolyte temperature data; wavelet threshold denoising; Aluminum; Application software; Computer science; Data engineering; Electrochemical processes; Frequency; Noise reduction; Production; Signal resolution; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research Challenges in Computer Science, 2009. ICRCCS '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3927-0
Electronic_ISBN :
978-1-4244-5410-5
Type :
conf
DOI :
10.1109/ICRCCS.2009.68
Filename :
5401244
Link To Document :
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