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南京工业大学 国内
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Nonlinear process monitors method based on kernel function and PNN
Bo Cuimei
, Li Jun, Lu Aijing, Zhuang Guangming
电气工程与控制科学学院
Nanjing Tech University
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Engineering
Dimensional Feature Space
100%
Nonlinear Process
100%
Nonlinear Problem
100%
Feature Space
100%
Fault Mode
100%
Computer Science
Process Monitor
100%
Kernel Function
100%
fault identification
50%
Fault Detection
50%
Feature Space
25%
Dimensional Feature Space
25%
Mathematics
Principal Component Analysis
66%
Arithmetic
66%
Higher Dimensions
33%
Nonlinear System
33%
Principal Component
33%
Nonlinear Problem
33%
Dimensional Feature Space
33%
Feature Space
33%
Chemical Engineering
Tennessee Eastman Process
33%