Community PCB Design PSpice PSpice Advanced Analysis: Monte Carlo

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PSpice Advanced Analysis: Monte Carlo

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Advanced Analysis is an add-on program for PSpice A/D and PSpice Simulator. You can use Advanced Analysis tools to improve the circuit performance, reliability, and yield.

Monte Carlo predicts the behavior of a circuit statistically when part values are varied within their tolerance range. Monte Carlo also calculates yield, which can be used for mass manufacturing predictions.

You can use Monte Carlo for: 

  • Calculating yield based on your specs
  • Integrating measurements with graphical displays
  • Displaying results in a probability distribution function (PDF) graph
  • Displaying results in a cumulative distribution function (CDF) graph
  • Calculating statistical data
  • Displaying measurement values for every Monte Carlo run

Some important points to remember while running Advanced Analysis Monte Carlo: 

  • Start with enough runs to provide statistically meaningful results.
  • Specify a larger number of runs for a more accurate graph of performance distribution. This more closely simulates the effects of mass production.
  • Start with a different random seed value if you want different results.
  • Set the graph bin number to show the level of detail you want. Higher bin numbers show more detail but need more runs to be useful.
  • If you are planning an analysis of thousands of runs on a complex circuit, you can turn off the simulation data storage option to conserve disk space. However, at this setting, the simulation will run slower.

      To turn off data storage:

  • From the Advance Analysis menu select Edit / Profile Settings/ Simulation
  • From the Monte Carlo field, select Save None.

The simulation data will be overwritten by each new run. Only the last run’s data will be saved.

You can review Monte Carlo results on two graphs and two tables: 

  • Probability density function (PDF) graph
  • Cumulative distribution function (CDF) graph
  • Statistical Information table, in the Statistics tab
  • Raw Measurements table, in the Raw Measurement tab

For detailed description and step by step process you can check following document on COS

You can also watch a detailed video here

 

Try it out and let us know your feedback

  • What is significance of random seed number

  • in reply to Schulz Jordan

    The random number generator uses this value to produce a sequence of random numbers. Change the seed in order to produce a unique random sequence for each Monte Carlo simulation. If the seed and device properties are not changed, then the same sequence of random numbers will be generated each time a Monte Carlo analysis is done. You can use this procedure to reproduce a random simulation.

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