Process Statistics VIs
- Updated2023-02-21
- 2 minute(s) read
Owning Palette: Statistical Process Control VIs
Requires: DSC Module. This topic might not match its corresponding palette in LabVIEW depending on your operating system, licensed product(s), and target.
Use the Process Statistics VIs to estimate process distributions and capabilities, calculate and plot histograms, and plot and fit normal probability distribution functions to histograms.
The Process Statistics VIs perform the following operations:
- Compute process mean and sigma
- Compute process capability ratios and reject rates
- Create and graph histograms
- Plot normal probability distribution functions against histograms and process specification limit
| Palette Object | Description |
|---|---|
| Compute Process Capability | Given the specification limits and the process mean and process sigma, computes the process capability ratios Cp, Cpk, and Cpkm as well as the estimated process fraction non-conforming in parts per million (ppm). Notice that the fraction non-conforming is valid only if the process is normally distributed. Computes one-sided upper and one-sided lower in addition to two-sided process capability ratios and fraction non-conforming. |
| Fit Nrml PDF to Histogram | Given the bin centers from a histogram (axis values output from the General Histogram VI), the estimated sigma of the observations for the histogram, and the total number of observations in the histogram, calculates the height for a normal probability distribution function (PDF) that fits the histogram. |
| General Histogram | Finds the discrete histogram of the input sequence X based on the given bin specifications. |
| Process Mean & Sigma | Computes process mean and sigma and upper and lower natural process limits from process samples. You can estimate the process sigma in several ways. If the sample size is greater than one, you can use either sample standard deviation s or range R to estimate the process sigma. You select s or R by the type input. If the sample size is one, the VI automatically uses the moving range to estimate the process sigma. |
| Sample Statistics | Computes statistics on the input array sample X. |
| Subpalette | Description |
|---|---|
| Process Statistics Graphing VIs | Use the Process Statistics Graphing VIs to plot graphs for process statistics. |