Generalized contribution plots in multivariate statistical process monitoring
Generalized contribution plots in multivariate statistical process monitoring
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DOI：
10.1016/s0169-7439(00)00062-9
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发表时间：
2000-05-08
影响因子：
3.9
通讯作者：
Smilde, AK
中科院分区：
文献类型：
--
作者：
Westerhuis, JA;Gurden, SP;Smilde, AK
本文讨论了间歇过程多元统计过程控制中D统计量和Q统计量的贡献图。将过程变量对D统计量的贡献推广到具有或不具有正交性约束的任何类型的潜变量模型。讨论了对Q统计量贡献的计算。对这两种类型的贡献引入了控制限度，以表明相对于在正常操作条件下获得的批次中相应过程变量的贡献，贡献的相对重要性。这些贡献是针对间歇过程的离线监控而介绍的，但也可以很容易地扩展到在线监控和连续过程，如本文所示。(C)2000 Elsevier Science B.V.保留所有权利。
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. (C) 2000 Elsevier Science B.V. All rights reserved.