Multivariate SPC in pharmaceutical applications

版本 1.0.0 (3.2 KB) 作者: Jerry Jin
Deploy a PAT model to a production line to monitor process variation using a NIR spectrometer.
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更新时间 2024/9/27

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Near infrared spectra of an industry process stream (reactor, dryer, blender,...) represent both the chemical composition and physical properies of the process stream. This GUI was designed as a template for deployment of a PCA model used with NIR spectra to track process trajectory and monitor process variation.
The function loads the PCA model first. It uses OPC DA to retrieve live spectra from NIR spectrometer. The spectrum was then fitted to the PCA model. Hotteling's T squred and Q residuals are calculated and comared to their critical limits.
The users are encouraged to modify the GUI to accomodate their specific needs when deploying a qualtative or quantatative model to the production line.

引用格式

Jerry Jin (2025). Multivariate SPC in pharmaceutical applications (https://www.mathworks.com/matlabcentral/fileexchange/173160-multivariate-spc-in-pharmaceutical-applications), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.0.0