ICAS-PAT manual for Design of process monitoring and ... - CAPEC

• Click on the command button, file name.mot to solve the model. The final value
of the variables are shown in Figure 12 (highlighted with red color) and the
whole dynamic simulated data is stored in a different file.
• Activate the workbook (maximize the window), PAT_Prototype.xls
3.4.3. Click on the command button, “Load simulation result” .
3.4.4. Click on the command button, “Select variable”. To analyze the objective
function, select the X axis (independent) variable (usually, ‘Time’ should be
selected as a X axis variable) and Y axis variable (objective function) from the
drop-down list and select the corresponding symbol of the selected variable
(objective function) from the drop-down list.
3.4.5. Click on the command button, “Operational limits of selected variable”.
3.4.6. To plot the selected variable (operational objective), click on the command button,
“Plot”. If the operational objective is not achieved (if it violates the limits), then
the next step in the procedure needs to be followed.
3.4.7. Select a process variable and corresponding symbol from the drop-down list
(similarly as mentioned in step 4.4), specify operational limits (similarly as
mentioned in the step 4.5) and plot the result (see Figure 11 for an example of the
result of this operation).
3.4.8. Click on the command button, “Analyze the selected variable”. This command
will open a message box. Select ‘Yes’ if the variable violates the operational limit
and ‘No’ if it is within the operational limit.
3.4.9. Repeat steps 4.7 and 4.8 for each process variable involved with the selected
process point. The result of this step is stored in the result section (see Figure 11,
right).
Open loop simulation data management
• To save the open loop simulation data, write the path of the directory where the
data has to be saved and click on the command button, “Save the open loop
simulation data” (see Figure 11).
• To load the saved data click on the command button, “Load the saved data (open
loop)” (see Figure 11). Follow the steps 4.4 to 4.9 for sensitivity analysis based on
the saved data.
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