Principal Polynomial Nonlinear Process Fault Detection Based on Neighborhood Preserving Embedding

Principal Polynomial Nonlinear Process Fault Detection Based on Neighborhood Preserving Embedding

Aimed at the problem of high dimension and nonlinearity of variable data in chemical process, a process fault detection algorithm based on neighborhood preserving embedding(NPE )-principal polynomial analysis (PPA) is proposed in this paper. The NPE algorithm is used to extract low dimensional subma...

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Bibliographic Details
Main Author: LI Yuan, YAO Zongyu
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021-08-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
neighborhood preserving embedding (npe)
principal polynomial analysis (ppa)
nonlinear process
fault detection
Online Access:http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-8-1001.shtml

Internet

http://xuebao.sjtu.edu.cn/article/2021/1006-2467/1006-2467-55-8-1001.shtml

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