Intelligent Electromagnetic Compatibility Diagnosis and Management With Collective Knowledge Graphs and Machine Learning
Intelligent Electromagnetic Compatibility Diagnosis and Management With Collective Knowledge Graphs and Machine Learning
复制标题
利用集体知识图谱和机器学习进行智能电磁兼容诊断和管理
DOI：
10.1109/temc.2020.3019801
复制
发表时间：
2021-04
影响因子：
2.1
通讯作者：
Wei Fang
中科院分区：
文献类型：
--
作者：
Dan Shi;Nan Wang;Fangfei Zhang;Wei Fang
电子设备的爆炸式增长带来了对快速电磁兼容性诊断的需求。然而，对于电气工程师来说，应用EMC知识有一个重要的学习曲线。本文提出了一种高效的电磁兼容诊断与管理方法，为电磁兼容分析提供了一种超越传统仿真或计算的快速方法。该方法将电磁兼容知识组织为由干扰/敏感单元组成的知识图和数学集规则。优化后的图结构有规则层、最大项层、基本单元层和实体层。基于压缩关系，实现了较高的搜索效率和图的可扩展性。为了方便从知识图谱中检索信息，从交互会话中获取干扰/敏感单元和相关参数，其中使用长短期记忆方法提取实体。在训练中输入EMC专用语料库，以提高推理的准确性。最后，利用知识图谱搜索软件自动生成EMC诊断与管理报告。该方法将计算效率提高了3倍。节点的关系和属性存储分别减少了76%和60.7%。鉴别正确率由77.7%提高到99.5%。该方法对电磁兼容设计中的串扰分析、辐射和传导干扰诊断具有实用价值。
The explosive growth of electronic devices brings a soaring demand for rapid electromagnetic compatibility (EMC) diagnosis. However, there is a significant learning curve for the electrical engineers to apply EMC knowledge. In this article, an efficient EMC diagnosis and management methodology was proposed, which provided a fast way for EMC analysis in seconds other than traditional simulation or calculation. The approach organized the EMC knowledges as knowledge graph composed by the interference/sensitive units, and mathematical set rules. The optimized graph structure is in form of rule, maxterm, basic unit, and entity layers. Based on the condensed relationships, it achieved high searching efficiency and graph expansibility. To facilitate the information retrieval from the knowledge graph, the interference/sensitive units and related parameters were acquired from interactive sessions, in which long short-term memory method was used to extract entities. The EMC specialized corpora were fed in training to enhance the accuracy of inference. Finally, the EMC diagnosis and management reports were automatically generated by knowledge graph searching application. The proposed method improved the calculation efficiency by three times. The storage of relationships and attributes of nodes was reduced by 76% and 60.7%. The identification accuracy was enhanced from 77.7% to 99.5%. The presented method is practically useful for EMC design in crosstalk analysis, radiated, and conducted interference diagnoses.
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DOI：
10.1109/isemc.1990.252752
发表时间：
1990-08
期刊：
IEEE International Symposium on Electromagnetic Compatibility
影响因子：
--
作者：
M. Surekha;A. Patki;G. Radha;A.V. Sudha;G.S. Sekhar;P. Shanthi
通讯作者：
M. Surekha;A. Patki;G. Radha;A.V. Sudha;G.S. Sekhar;P. Shanthi
DOI：
10.1109/isemc.1994.385621
发表时间：
1994-08
期刊：
Proceedings of IEEE Symposium on Electromagnetic Compatibility
影响因子：
--
作者：
V. Choo;A. Drozd;D. Dixon;N. Schade
通讯作者：
V. Choo;A. Drozd;D. Dixon;N. Schade
影响因子：
3.9
作者：
Xiaoli Wang;Y. Wang;Chuchu Gao;Kunhui Lin;Yadi Li
通讯作者：
Xiaoli Wang;Y. Wang;Chuchu Gao;Kunhui Lin;Yadi Li
DOI：
10.1109/tmtt.2010.2086590
发表时间：
2010-11
影响因子：
4.3
作者：
Qing He;D. Jiao
通讯作者：
Qing He;D. Jiao
影响因子：
--
作者：
Chuanyi Yang;V. Jandhyala
通讯作者：
Chuanyi Yang;V. Jandhyala