Groove Resistance Simulation Analysis and Fault Detection of Aluminum Reduction Cell

2012 ◽  
Vol 535-537 ◽  
pp. 2044-2048
Author(s):  
Shu Ping Wang ◽  
Ya Jing Song

The power spectrum method of frequency domain is presented in this paper for analyzing the four states of aluminum reduction cell (that is the normal condition, the liquid aluminum fluctuation, the abnormally low polar distance or drop of an anode and the anodic long bud), the characteristics of frequency domain under circumstances of function and malfunction and pointing out that groove resistance simulation analysis provide reliable basis for fault detection of aluminum reduction cell.

JOM ◽  
2014 ◽  
Vol 66 (7) ◽  
pp. 1202-1209 ◽  
Author(s):  
Liu Yan ◽  
Li Yudong ◽  
Zhang Ting’an ◽  
Feng Naixiang

2014 ◽  
Vol 536-537 ◽  
pp. 911-914
Author(s):  
Ning Yang ◽  
Xu Qian

In this paper, Von Karman random media is constructed with power spectrum method. The random media with Von Karman autocorrelation cannot be constructed in time domain but in frequency domain. So power spectrum method is utilized to solve the problem. The spectrum of random function is generated in frequency domain with random field and auto-correlation function. With inverse Fourier transformation, the Von Karman random media model is constructed. With different correlation lengths, six group of Von Karman random media are constructed.


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