R
rdragons
I have been assigned the task of performing calibration interval analysis on two of our company’s products to see if the calibration interval can be extended. A visit to the Metrology Lab provided a copy of RP-1 from which I selected method S2 as being the most appropriate. Preliminary data analysis indicates the current calibration time is at the 95% reliability target, which negates any attempt at extending the calibration interval without further intervention. Rather than take my management bad news, I prefer to take them solutions. I want to lay out a scenario of what needs to change in order to extend the calibration time and let them make the business decision as to whether to implement or not. To accomplish this I decided I need to further analyze individual "variable" failures to get a better visual representation comparing trend, test tolerances, and confidence limits. I can fit a curve through data, calculate standard deviations, and confidence limits, but now I want confidence bands around a curve corresponding to 95% confidence and this confidence band is a function of time.
Enter “Calibration Intervals from Variables Data”
Calibration Intervals from Variables Data.pdf
Equation (14) is not working. The model is second order. (14) is returning a one row 2 column “variance” matrix that I can’t seem to pull the elements out of . And if I could get the elements out I have drawn a blank as to how to incorporate these elements into an equation to plot the confidence boundary vs. time.
I am looking for the solution from (14) to a confidence vs. time function OR an alternative set of equations “that work and are understandable” to calculate and plot confidence bands as a function of time.
Thanks
Enter “Calibration Intervals from Variables Data”
Calibration Intervals from Variables Data.pdf
Equation (14) is not working. The model is second order. (14) is returning a one row 2 column “variance” matrix that I can’t seem to pull the elements out of . And if I could get the elements out I have drawn a blank as to how to incorporate these elements into an equation to plot the confidence boundary vs. time.
I am looking for the solution from (14) to a confidence vs. time function OR an alternative set of equations “that work and are understandable” to calculate and plot confidence bands as a function of time.
Thanks