A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

Author:

Yue Weichao,Chen Xiaofang,Gui Weihua,Xie Yongfang,Zhang Hongliang

Publisher

Springer Science and Business Media LLC

Subject

General Chemical Engineering

Reference30 articles.

1. Qiu Z X. Principles and Applications of Aluminum Electrolysis. Xuzhou: China University of Mining Press, 1998, 508–510

2. Gui W H, Wang C, Xie Y F, Song S, Meng Q F. Knowledge automation is a necessary method for universities to realize spanning development for process industry. China science founding, 2015(5): 337–342

3. Guo J, Gui W H, Wen X F. Multi-objective optimization for aluminum electrolysis production process. Journal of Central South University, 2012, 43(2): 548–553

4. Stam M A, Taylor M P, Chen J J J, Mulder A, Rodrigo R. Common behaviour and abnormalities in aluminum reduction cells. TMS Light Metals, 2008, 309–314

5. Majid N A A, Taylor M P, Chen J J J, Stam M A, Mulder A, Young B R. Aluminum process fault detection by multiway principal component analysis. Control Engineering Practice, 2011, 19(4): 367–379

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