Batch Process Monitoring with Dynamic-Static Joint Indicator Based on GSFA-GNPE

Batch Process Monitoring with Dynamic-Static Joint Indicator Based on GSFA-GNPE

Traditional process monitoring methods ignore the time-series correlation between variables, and do not distinguish the dynamic relationship and static relationship between variables, resulting in poor monitoring effect. To solve these problems, a dynamic-static joint indicator monitoring method of...

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Bibliographic Details
Main Author: ZHAO Xiaoqiang, MOU Miao
Format: article
Language:ZH
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021
Subjects:
batch process
process monitoring
slow feature analysis
neighborhood preserving embedding
globality-locality
bayesian inference
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
Online Access:https://doaj.org/article/173bdc88199f40ecafad7c6c5c7aefc5
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https://doaj.org/article/173bdc88199f40ecafad7c6c5c7aefc5

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