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Question 7/5 - EMC prediction through mathematical modelling

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Type of question

Task-oriented

Reason for question

The telecommunications industry normally fulfils its EMC requirements by a combination of modular and in situ testing. This has the tendency to be expensive, have high experimental uncertainty (i.e. limited confidence in the results) and leave the operator with little option where in situ testing produces adverse results. This question seeks to offer a mathematically based technique for minimizing the cost and maximizing the confidence of EMC compliance at the system level.

Text of question

This question will study mathematical techniques for assessing the EMC compliance of large systems. The question will review the suitability of techniques such as:

  • probabilistic analysis,
  • stochastic evaluation, and
  • Monte Carlo simulation

for inclusion in mathematical models for telecommunications EMC.

The study will also review the use and limitations of:

  • test site measurements,
  • near field measurements, and
  • predictions (e.g. from PCB analysis)

as input data to the models produced.

Specific objective and time-frame

One or more recommendations providing guidance on whether and how mathematical techniques can be used to show EMC compliance of telecommunication systems will be produced. The recommendation may also include detail on specific models, which can be shown to have validity, and on the limitations (e.g. prediction uncertainty) of these models.

Relationship to other

  • Recommendations
    • K-series
  • Questions
    • 10, 12 and 13/5
  • Standardization bodies
    • CISPR, IEC, ETSI, ANSI

 

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Updated : 2004-10-21