Quality-Relevant Data-Driven Process Monitoring Based on Orthogonal Signal Correction and Recursive Modified PLS
Modified partial least squares (MPLS) is an efficient tool widely used in multivariate statistical process monitoring. To properly describe slow time-varying processes, the method commonly used in model updating is data expansion. However, when the number of lagged variables grows, the modeling orde...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8808872/ |