Intelligent Fault Diagnosis in Lead-zinc Smelting Process

Wei-Hua Gui Chun-Hua Yang Jing Teng

Wei-Hua Gui, Chun-Hua Yang, Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 135-140. doi: 10.1007/s11633-007-0135-z
引用本文: Wei-Hua Gui, Chun-Hua Yang, Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 135-140. doi: 10.1007/s11633-007-0135-z
Wei-Hua Gui, Chun-Hua Yang and Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process. International Journal of Automation and Computing, vol. 4, no. 2, pp. 135-140, 2007 doi:  10.1007/s11633-007-0135-z
Citation: Wei-Hua Gui, Chun-Hua Yang and Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process. International Journal of Automation and Computing, vol. 4, no. 2, pp. 135-140, 2007 doi:  10.1007/s11633-007-0135-z

Intelligent Fault Diagnosis in Lead-zinc Smelting Process

doi: 10.1007/s11633-007-0135-z
基金项目: 

This work was supported by National 973 Program (No.2002CB312200);National Natural Science Foundation of PRC (No.60634020).

Intelligent Fault Diagnosis in Lead-zinc Smelting Process

Funds: 

This work was supported by National 973 Program (No.2002CB312200);National Natural Science Foundation of PRC (No.60634020).

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出版历程
  • 收稿日期:  2006-02-07
  • 修回日期:  2006-12-10
  • 刊出日期:  2007-04-15

Intelligent Fault Diagnosis in Lead-zinc Smelting Process

doi: 10.1007/s11633-007-0135-z
    基金项目:

    This work was supported by National 973 Program (No.2002CB312200);National Natural Science Foundation of PRC (No.60634020).

摘要: According to the fault characteristic of the imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed. In the system fuzzy neural networks are utilized to extract fault symptom and expert system is employed for effective fault diagnosis of the process. Furthermore, fuzzy abductive inference is introduced to diagnose multiple faults. Feasibility of the proposed system is demonstrated through a pilot plant case study.

English Abstract

Wei-Hua Gui, Chun-Hua Yang, Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 135-140. doi: 10.1007/s11633-007-0135-z
引用本文: Wei-Hua Gui, Chun-Hua Yang, Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 135-140. doi: 10.1007/s11633-007-0135-z
Wei-Hua Gui, Chun-Hua Yang and Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process. International Journal of Automation and Computing, vol. 4, no. 2, pp. 135-140, 2007 doi:  10.1007/s11633-007-0135-z
Citation: Wei-Hua Gui, Chun-Hua Yang and Jing Teng. Intelligent Fault Diagnosis in Lead-zinc Smelting Process. International Journal of Automation and Computing, vol. 4, no. 2, pp. 135-140, 2007 doi:  10.1007/s11633-007-0135-z
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