Process Monitoring via Key Principal Components and Local Information Based Weights

Process Monitoring via Key Principal Components and Local Information Based Weights

There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent the amount of fault information included in the...

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Bibliographic Details
Main Authors: Bing Song, Xinggui Zhou, Shuai Tan, Hongbo Shi, Bo Zhao, Mengling Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Statistical analysis
process monitoring
fault detection
principal component analysis
data analysis
Online Access:https://ieeexplore.ieee.org/document/8631000/

Internet

https://ieeexplore.ieee.org/document/8631000/

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