An efficient multi-PCA based on-line monitoring scheme for multi-stages imperial smelting process View Full Text


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Article Info

DATE

2013-04

AUTHORS

Zhi-kun Hu, Lin-zi Yin, Zhi-wen Chen, Wei-Hua Gui, Chun-hua Yang, Xiao-qi Peng

ABSTRACT

Imperial Smelting Process (ISP) is one of the main methods for Zinc and Lead smelting. In this paper, we firstly focus on its unique characteristics that ISP consists of many feeding cycles repeated in a similar way, and the normal process changes and multiple operating conditions would be frequently found in the process which would always lead to false alarms. To this end, we classify each feeding cycles of ISP into initial stage, transition stage, and steady stage, and use standard PCA, first order perturbation (FOP) based recursive dynamic PCA and multi-mode approach to deal with them respectively. The monitoring results using real data show that the proposed scheme can be able to eliminate false alarms and detect faults efficiently. More... »

PAGES

317-324

References to SciGraph publications

  • 2011-08. Fault classification method for inverter based on hybrid support vector machines and wavelet analysis in INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS
  • 2004-12. On-line forecasting model for zinc output based on self-tuning support vector regression and its application in JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY
  • 2011-02. Dynamic output feedback robust H∞ control of uncertain switched nonlinear systems in INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS
  • 2011-06. Fault estimation and accommodation for switched systems with time-varying delay in INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS
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