Improving the Field-MOP's Forecast Quality

To improve the forecast quality (F-CoP[Total]) of the field-MOP:

  1. Select Field data models > Field-MOP > Create Field-MOP.

  2. On the Select training data tab, do the following:

    1. Drag and drop the field quantity LOGSEQV into the Output list.

    2. Drag and drop the five scalar parameters into the Input (selectable) list:

      • TEMP_env

      • TEMP_CPU

      • CTE_PCB_xy

      • TEMP_MCU

      • CTE_CPU

  3. Using the default meta model settings, click OK to build the field-MOP.

  4. Review results in the Field data models window.

     

    When the default value of 10 shapes is used for the random field decomposition, the field-MOP explains 96.9% of the variance observed in the simulated field designs. This limits the achievable F-CoP[Total] values. Ideally, you want to see values closer to 100%.

  5. Re-create the field-MOP using 25 shapes.

    With a superposition of 25 shapes, the field-MOP explains 99.4% of the variance observed in the simulated field designs.

     

    Note:  Using more shapes, you can boost the average F-CoP[Total] from 86.7% to 88.2%, with the cost of some computation time.

  6. Now re-create the field-MOP again but drag and drop the field quantity Temp into the Output list and use the default meta model settings.