NDLI: An efficient multi-PCA based on-line monitoring scheme for multi-stages imperial smelting process

Content Provider	Springer Nature Link
Author	Hu, Zhi kun Yin, Lin zi Chen, Zhi wen Gui, Wei Hua Yang, Chun hua Peng, Xiao qi
Copyright Year	2013
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.
Starting Page	317
Ending Page	324
Page Count	8
File Format	PDF
ISSN	15986446
Journal	International Journal of Control, Automation and Systems
Volume Number	11
Issue Number	2
e-ISSN	20054092
Language	English
Publisher	Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
Publisher Date	2013-03-27
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic PCA FOP based recursive DPCA imperial smelting process process monitoring and fault diagnosis Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications

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