Rohde and Schwarz Gmbh & Co. Kg

SiewLeng Ng

Hendrik Bartko

The invention relates to a method and a system for determining test signals for electromagnetic susceptibility, EMS, testing of a device-under-test, DUT. The method comprises the steps of: receiving at least one DUT parameter which defines a property of the DUT; receiving at least one environmental parameter which defines an electromagnetic environment, EME, in which the DUT is to be used; receiving information on an EM emission behavior, in particular an emission spectrum, of the DUT; and inputting the at least one DUT parameter, the at least one environmental parameter and the information on the EM emission behavior to a machine learning, ML, or artificial intelligence, AI, model. The ML or AI model is configured to determine one or more test signals for EMS testing of the DUT based on the at least one DUT parameter, the at least one environmental parameter and the information on the EM emission behavior.

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Singapore, Singapore

SiewLeng Ng