电子科技大学学报2024，Vol.53Issue(4)：495-502,8.DOI:10.12178/1001-0548.2023210
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
AI-Based Efficient Near-Field Scanning for Conductive Coupling Path Visualization Under High Transient Electromagnetic Interference
摘要
Abstract
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.关键词
高压电子系统/瞬态强电磁干扰/近场扫描/耦合路径/人工智能近场扫描算法Key words
high-voltage electronic system/higher transient electromagnetic interference/near-field scanning/coupling path/artificial intelligence scanning algorithm分类
信息技术与安全科学引用本文复制引用
杨振中,谢雨婷,许潘,邓帅荣..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[J].电子科技大学学报,2024,53(4):495-502,8.基金项目
国家自然科学基金(U203020025) （U203020025）
