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Generalized contribution plots in multivariate statistical process monitoring
This paper discusses contribution plots for both the D-statistic and the Q-statistic in multivariate statistical process control of batch processes. Contributions of process variables to the D-statistic are generalized to any type of latent variable model with or without orthogonality constraints. T...
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Published in: | Chemometrics and intelligent laboratory systems 2000-05, Vol.51 (1), p.95-114 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper discusses contribution plots for both the
D-statistic and the
Q-statistic in multivariate statistical process control of batch processes. Contributions of process variables to the
D-statistic are generalized to any type of latent variable model with or without orthogonality constraints. The calculation of contributions to the
Q-statistic is discussed. Control limits for both types of contributions are introduced to show the relative importance of a contribution compared to the contributions of the corresponding process variables in the batches obtained under normal operating conditions. The contributions are introduced for off-line monitoring of batch processes, but can easily be extended to on-line monitoring and to continuous processes, as is shown in this paper. |
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ISSN: | 0169-7439 1873-3239 |
DOI: | 10.1016/S0169-7439(00)00062-9 |