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基于知识图谱的智能故障诊断研究 被引量:23

Research on Intelligent Fault Diagnosis Based on Knowledge Graph
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摘要 介绍了一种基于知识图谱的智能故障诊断系统,通过构建电信领域知识图谱,将电信网络领域零散的专家经验及庞大的产品、案例知识和故障数据有效关联,并应用知识图谱推理技术,进行网络故障智能诊断,辅助解决网络运维领域的故障问题。该系统利用知识图谱解决了故障知识与故障数据自动对接、自动推理生成故障传播链、按图索骥查询故障传播可解释性知识等问题,经过现网真实故障场景验证,可以极大提高故障根因定位分析全过程的处理效率。 A knowledge graph based intelligent fault diagnosis system is introduced.By constructing the knowledge graph of telecommunication domain,the scattered expert experience and huge amount of product and case knowledge and fault data in telecommunication network can be effectively correlated.The reasoning technology of knowledge graph is applied to carry out intelligent fault diagnosis of network,and assist to solve the fault problems in the field of network operation and maintenance.The system uses knowledge graph to solve the problems of automatic connection between fault knowledge and fault data,automatic inference to generate fault propagation chain,and query interpretable knowledge of fault propagation accordingly.The system can greatly improve the processing efficiency of the whole process of fault root cause location analysis through the verification of real fault scenarios in the existing network.
作者 刘瑞宏 谢国强 苑宗港 宋文婷 王高虎 Liu Ruihong;Xie Guoqiang;Yuan Zonggang;Song Wenting;Wang Gaohu(Huawei Technologies Co.,Ltd.,Dongguan 523808,China)
出处 《邮电设计技术》 2020年第10期30-35,共6页 Designing Techniques of Posts and Telecommunications
关键词 知识图谱 故障诊断 知识推理 Knowledge graph Faults diagnosis Knowledge inference
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