Modal analysis is a powerful tool for noise identification and predicting noise voltages and currents. For this reason, it can be adopted to infer the outcomes of bulk current injection (BCI) tests on multi-wire bundles for conducted susceptibility verifications through a suitable model of mode conversion. Moreover, upper and lower limits for terminal voltages and currents can be computed through statistical investigations, allowing to identify best- and worst-case scenarios for the considered test campaign. In this framework, a decoupled modal-domain analysis is designed and presented for predicting the results of conducted susceptibility tests involving BCI probes. In particular, this work aims to improve the accuracy of the modal analysis by introducing an intermediate step in the procedure, while ensuring efficiency compared to the traditional method working in the physical domain.
Modal Analysis of Bulk Current Injection Tests Involving Multiwire Harnesses
Wu X.;Toscani N.;Grassi F.
2023-01-01
Abstract
Modal analysis is a powerful tool for noise identification and predicting noise voltages and currents. For this reason, it can be adopted to infer the outcomes of bulk current injection (BCI) tests on multi-wire bundles for conducted susceptibility verifications through a suitable model of mode conversion. Moreover, upper and lower limits for terminal voltages and currents can be computed through statistical investigations, allowing to identify best- and worst-case scenarios for the considered test campaign. In this framework, a decoupled modal-domain analysis is designed and presented for predicting the results of conducted susceptibility tests involving BCI probes. In particular, this work aims to improve the accuracy of the modal analysis by introducing an intermediate step in the procedure, while ensuring efficiency compared to the traditional method working in the physical domain.File | Dimensione | Formato | |
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