NDLI: Complex process operating optimality assessment and nonoptimal cause identification using modified total kernel PLS

Content Provider	IEEE Xplore Digital Library
Author	Yan Liu Yuqing Chang Fuli Wang Ruicheng Ma Honglin Zhang
Copyright Year	2014
Description	Author affiliation: Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China (Yan Liu; Yuqing Chang; Fuli Wang; Honglin Zhang) \|\| Sch. of Math., Liaoning Univ., Shenyang, China (Ruicheng Ma)
Abstract	Due to process disturbances and some uncertainties, the process operating performance will deviate from the optimal operating point along with time, so it is very important to develop strategies for online operating performance assessment on optimality. However, a little work has been published in this research area to our knowledge. In this study, a new online operating optimality assessment method for complex industrial process is proposed. Firstly, a new version of T-KPLS algorithm combined with the modified KPLS is developed and used to establish the assessment models for each of the performance grades. By calculating the similarities between the online data and each performance grade, one can obtain the assessment result online, and the assessment results not only include the certain performance grade but also the performance grade conversion. For nonoptimal operating performance, a method of nonoptimal cause identification based on variable contribution is developed. Finally, the proposed online assessment method is applied in a gold hydrometallurgical process, which indicates the efficiency of the proposed approach.
Starting Page	1221
Ending Page	1227
File Size	329808
Page Count	7
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852353
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Economics Operating performance Gold Educational institutions Cause identification Eigenvalues and eigenfunctions Data models Optimality assessment Leaching Kernel Modified total kernel PLS Gold hydrometallurgical process
Content Type	Text
Resource Type	Article

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