Quality-Related Fault Detection and Diagnosis Based on Total Principal Component Regression Model
This paper investigates the issue of quality-related fault detection and diagnosis. A total principal component regression (TPCR) model is build, based on which process variables space is divided into two orthogonal subspaces. Subsequently, two statistical indices with different correlations with ou...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8303675/ |