Operating optimality assessment based on optimality related variations and nonoptimal cause identification for industrial processes

被引：32

作者：

Liu, Yan ^{[1
]}

Wang, Fuli ^{[1
,2
]}

Chang, Yuqing ^{[1
,2
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, 3 Lane 11,Wenhua Rd, Shenyang 110819, Liaoning, Peoples R China

[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China

来源：

JOURNAL OF PROCESS CONTROL | 2016年 / 39卷

基金：

中国国家自然科学基金;

关键词：

Operating optimality assessment; Nonoptimal cause identification; Optimality related variations; Gold hydrometallurgical process; REAL-TIME OPTIMIZATION; PERFORMANCE;

D O I：

10.1016/j.jprocont.2015.12.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this study, a novel online operating optimality assessment based on optimality related variations and nonoptimal cause identification method is proposed for industrial processes. The optimality related variations are extracted from each steady performance grade by analyzing the common and unique variations among steady performance grades, which avoids the time-consuming data alignment. When the optimality related variations are used in assessment, both the robustness and sensitivity of the assessment method are improved compared with the PCA-based assessment for its abilities in highlighting the process variations related to operating performance and excluding those unrelated variations. Based on the similarities between the optimality related variations of the online data and that of each steady performance grade, the process operating performance can be evaluated as the steady performance grade or the conversion process between performance grades, and this provides more information for the in-depth understanding of the process operating. For nonoptimal operating performance, the nonoptimal cause identification strategy is developed for further production adjustment and performance improvement. Finally, the efficiency of the proposed method is illustrated with a case of gold hydrometallurgical process. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：11 / 20

页数：10

共 19 条

[1] THIOSULFATE LEACHING FOR GOLD HYDROMETALLURGY [J].