Bspcgui
Introduction
Batch Statistical Process Control (BSPC) is the analysis of process data where the process inherently loops of "batches".
Model Types
| Model | Modes (Dimensions) | Equal Length Batches | Steps Aligned | Comments |
|---|---|---|---|---|
| Summary PCA | 2 | No | No | Orientation = batches x (step/summary) |
| Batch Maturity | 2 | No | No | Can have Y-Block to indicate maturity |
| MPCA | 3 | Yes | Yes | |
| PARAFAC | 3 | Yes | Yes | |
| Summary PARAFAC | 3 | No | No | Orientation = batches x step x summary |
| PARAFAC2 | 3 | No | No |
Experiment Designer Window
The goal of the Batch Processor interface is to make it easier to assemble “batch” data for multivariate analysis. Because different analyses and conditions require different data manipulation, assembling data for batch analysis can be very difficult and complicated.
The workflow of the interface flows from left to right. Loading data and choosing an Analysis Type will enable relevant tabs. Clicking the Next button will open the next enabled tab. Batches and steps are defined then alignment and summary information is added. When finished, "folded" data can be saved or exported to the analysis interface and or a model for folding new data can be saved.
Start Tab
Load, append, edit, and or clear data.
- Dropping data onto the status area will load data. If previously loaded exists, a prompt for overwrite or augment will appear.
- If augment is chosen, two options will be given, augment as new batch or not. Augment as new batch adds a class for the data being augmented otherwise a "normal" augment will occur and if the new dataset has a matching class it will be merged.