Operation performance assessment for multimode processes based on GMM and Bayesian inference

被引：4
|
作者：
Zou X.-Y. [1 ]
Chang Y.-Q. [1 ]
Wang F.-L. [1 ,2 ]
Zhou Y. [3 ]
机构：
[1] College of Information Science and Engineering, Northeastern University, Shenyang, 110819, Liaoning
[2] State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, Liaoning
[3] Liaoning Hongyanhe Nuclear Power Co., LTD, Dalian, 116319, Liaoning
来源：
Chang, Yu-Qing (changyuqing@ise.neu.edu.cn) | 1600年 / South China University of Technology卷 / 33期
基金：
中国国家自然科学基金;
关键词：
Bayesian inference; Gaussian mixture model (GMM); Multimode process; Nonoptimal cause identification; Operating performance assessment;
D O I：
10.7641/CTA.2016.50364
中图分类号：
学科分类号：
摘要：
To maximize the comprehensive economic benefits of enterprises, the production process ought to be kept in the optimal operating performance grade. To solve the problem of process state judgement for multimode processes, a novel operation performance assessing approach is proposed in this paper. One Gaussian mixture model (GMM) is established for a same running grade with multi modes in this article, ensuring the precision of feature extraction and avoiding mode division. As to online evaluation strategy, Bayesian inference is applied to calculate the Posterior probability of the current performance belonging to each grade. Sliding window is then introduced to help determine the running state. The proposed method turns to be an effective solution to the multi-modal process operating performance optimality online assessment. A novel variable contribution calculation technique is subsequently put forward, in the form of partial derivatives, which is successfully applied to cause identification when the performance is assessed to be non-optimal. Finally the validity of the proposed approach is illustrated through TE process. © 2016, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码：164 / 171
页数：7
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