基于人工智能高效近场扫描的瞬态强电磁干扰传导耦合路径可视化OA北大核心CSTPCD

In high-voltage electronic systems, high transient electromagnetic interference will affect the low-voltage controlling system via space electromagnetic radiation or coupling interference conduction. Under such circumstances, the electromagnetic compatibility problem of the system is more prominent. Based on the combination of time-domain current measurement and near-field scanning, this paper proposes an improved Artificial Intelligence (AI) near-field scanning algorithm, which can efficiently visualize the conductive coupling paths under strong transient electromagnetic interference. Further, mitigation methods are used to solve the electromagnetic interference problem in the system. Compared to the conventional near-field scanning method, the proposed AI method significantly improves the measurement efficiency. Moreover, this paper analyzes the influence of different parameter choices on the stability of the AI method, and proposes an automatic stopping criterion for the AI near-field scanning process. The stopping criterion makes the AI near-field scanning process more intelligent and robust without human intervention.