Global–local preserving method of quality-related maximization and its application for process monitoring

IF 5.4 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Control Engineering Practice Pub Date : 2024-11-01 DOI:10.1016/j.conengprac.2024.106143

Jiandong Yang, Xuefeng Yan

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引用次数: 0

Abstract

Common multivariate statistical quality-related process monitoring methods often separate feature extraction from quality-related process modeling, which can lead to insufficient extraction of quality-related information. In this paper, a quality-related maximization model with global and local preservation constraints is proposed. The process data are mapped to a high-dimensional feature space using kernel projection, which better linearizes the nonlinear data. Kernel sparse representation local linear embedding is applied to adaptively determine local relationships. Based on these local relationships, global-local constraints are constructed, and quality-related features are extracted according to the principle of maximizing correlation with quality indicators, resulting in a low-dimensional embedding matrix. This embedding matrix is used for process monitoring by dividing the quality-related and quality-independent subspaces and constructing a monitoring statistical strategy. The effectiveness of the proposed method is verified using the Tennessee-Eastman process, and it is further applied to a fluid catalytic cracking process.

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质量相关最大化的全局-局部保存法及其在过程监控中的应用

常见的多元统计质量相关过程监控方法往往将特征提取与质量相关过程建模分开，这可能导致质量相关信息提取不足。本文提出了一种具有全局和局部保存约束的质量相关最大化模型。使用核投影将过程数据映射到高维特征空间，从而更好地线性化非线性数据。内核稀疏表示局部线性嵌入被用于自适应地确定局部关系。根据这些局部关系，构建全局-局部约束，并按照与质量指标相关性最大化的原则提取与质量相关的特征，从而得到一个低维嵌入矩阵。通过划分与质量相关的子空间和与质量无关的子空间并构建监控统计策略，该嵌入矩阵可用于过程监控。利用 Tennessee-Eastman 工艺验证了所提方法的有效性，并将其进一步应用于流体催化裂化工艺。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Control Engineering Practice 工程技术-工程：电子与电气

CiteScore

9.20

自引率

12.20%

发文量

183

审稿时长

44 days

期刊介绍： Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.