Quality-related fault detection based on the score reconstruction associated with partial least squares

被引:0
作者
Kong X.-Y. [1 ]
Li Q. [1 ]
An Q.-S. [2 ]
Xie J. [1 ]
机构
[1] Department of Missile Engineering, Rocket Force University of Engineering, Xi'an
[2] Department of Mathematics and Computer Science, Shanxi Normal University, Linfen
来源
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2020年 / 37卷 / 11期
基金
中国国家自然科学基金;
关键词
Data-driven; Fault detection; Partial least squares; Score reconstruction; Tennessee Eastman process;
D O I
10.7641/CTA.2020.00094
中图分类号
学科分类号
摘要
Partial least squares (PLS) method is a typical method of multivariate statistical analysis and is widely used in multivariate statistical process detection, which usually requires the data to meet the Gauss Markov theorem. When the data have multimodal or nonlinear of process variables, the performance of fault detection based on PLS method will be affected. To solve this problem, a quality-related fault detection approach based on the score reconstruction associated with partial least squares (SR-PLS) is proposed in this paper. First, an input space is decomposed into two subspaces: quality-related space and quality-unrelated space using PLS. Second, the reconstructed score vectors of each score vector are computed respectively through k nearest neighbors (kNN) rule in quality-related space and quality-unrelated space. At last, reconstruction statistics are used to construct statistics, and control limits are obtained from kernel density estimation (KDE) for fault detection. SR-PLS is capable of reducing the influence of multimodal and nonlinear characteristics, and improving the fault detection rate. The proposed method is applied to two numerical simulation examples and the Tennessee Eastman process (TEP), and compared with PLS, KPLS, LNS-PLS to prove the superiority and effectiveness of the algorithm. © 2020, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.
引用
收藏
页码:2321 / 2332
页数:11
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