Question 7/5 - EMC prediction through mathematical modelling
(Continuation of Question 7/5)
Motivation
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.
The following Recommendation, in force at the time of approval of this Question, falls under its responsibility:
K.62
Question
This question will study mathematical techniques for assessing the EMC compliance of large systems.
Study items to be considered include, but are not limited to:
- review the suitability of techniques, for inclusion in mathematical models for telecommunications EMC, such as
- probabilistic analysis
- stochastic evaluation, and
– Monte Carlo simulation
- the use and limitations, as input data to the models produced, of
– test site measurements,
– near field measurements, and
– predictions (e.g. from PCB analysis).
Tasks
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.
Tasks include, but are not limited to:
- Maintenance and enhancement of Recommendation K.62;
- One new Recommendation on Immunity prediction through mathematical
modelling.
Relationships
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Recommendations: K-series
- Questions: 2 and 12/5
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Standardization bodies: CISPR, IEC, ETSI, ANSI
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