The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Geometric properties of partial least squares for process monitoring
Abstract
Projection to latent structures or partial least squares (PLS) produces output-supervised decomposition on input X, while principal component analysis (PCA) produces unsupervised decomposition of input X. In this paper, the effect of output Y on the X-space decomposition in PLS is analyzed and geometric properties of the PLS structure are revealed. Several PLS algorithms are compared in a geometric way for the purpose of process monitoring. A numerical example and a case study are given to illustrate the analysis results.
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Citations
Cites
SIMPLS: An alternative approach to partial least squares regression
de Jong, S. (1993) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(93)85002-x · Cited by 1,905 · cited 5×
“De Jong (1993) proposed SIMPLS as an alternative approach of PLS. SIMPLS is proven to be identical to PLS1 for one output, and different from PLS2 with multiple outputs (Ter Braak & De Jong, 1998).”
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Cited by
Data-based techniques focused on modern industry: An overview
Yin, S., Li, X., Gao, H., & Kaynak, O. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2308133 · Cited by 1,025
Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis
Yin, S., Zhu, X., & Kaynak, O. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2345331 · Cited by 537
Data-Driven Process Monitoring Based on Modified Orthogonal Projections to Latent Structures
Yin, S., Wang, G., & Gao, H. (2016) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2015.2481318 · Cited by 258
Metadata
- Authors
- Li, G., Qin, S. J., & Zhou, D.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 46
- Issue
- 1
- Pages
- 204-210
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2039839604
- Cited by
- 368
- References
- 1
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- closed
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