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Comprehensive Monitoring of Nonlinear Processes Based on Concurrent Kernel Projection to Latent Structures.
- Source :
-
IEEE Transactions on Automation Science & Engineering . Apr2016, Vol. 13 Issue 2, p1129-1137. 9p. - Publication Year :
- 2016
-
Abstract
- Projection to latent structures (PLS) and concurrent PLS are approaches for solving quality-relevant process monitoring. In this paper, a new approach called concurrent kernel PLS (CKPLS) is presented to detect faults comprehensively for nonlinear processes. The new model divides the nonlinear process and quality spaces into five subspaces: the co-varying, process-principal, process-residual, quality-principal, and quality-residual subspaces. The co-varying subspace reflects nonlinear relationship between quality variables and original process variables. The process-principal and process-residual subspaces reflect the principal variations and residuals, respectively, in the nonlinear process space. Further, the quality-principal and quality-residual subspaces reflect the principal variations and residuals, respectively, in the quality space. The proposed approach is demonstrated by a numerical simulation and an application of the Tennessee Eastman process.<?Pub _newline ?> [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15455955
- Volume :
- 13
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Automation Science & Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 114532805
- Full Text :
- https://doi.org/10.1109/TASE.2015.2477272