故障知识图谱技术体系研究综述
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中国核动力研究设计院

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TP182

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中国核动力研究设计院原创基金(一)(KJCX-2023-YC1-019)


Review of Fault Knowledge Graph Technology System
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    摘要:

    随着设备复杂度的日益增加,对设备的维护和故障诊断也提出了更高要求。故障知识图谱作为一种新兴的故障诊断技术,具有结构化存储、可视化展示、多源数据融合、实时更新等多方面优势。为了深入了解故障知识图谱的研究思路,把握其未来研究方向,针对故障知识图谱各主要技术的研究现状进行了分析与总结。从知识图谱的定义和发展历程出发,引申至故障知识图谱的定义及其研究现状,并对故障知识图谱的各层关键技术进行介绍,分析了各关键技术的相关研究方法及其研究现状。基于现今研究现状与未来技术发展趋势,对故障知识图谱的未来研究方向作出了展望,为故障知识图谱下一步的相关研究提供参考和启示。

    Abstract:

    With the increasing complexity of equipments, the equipment maintenance and fault diagnosis are also put forward higher requirements. As a new fault diagnosis technology, fault knowledge graph has a lot of advantages, such as structured storage, visual display, multi-source data fusion, real-time update and so on. In order to deeply understand the research idea of fault knowledge graph and grasp its future research direction, the research status of each main technical of fault knowledge graph is analyzed and summarized. Starting from the definition and development history of knowledge graph, the definition and the research status of knowledge graph are extended. And the key technology of each layer of fault knowledge graph is introduced, the research methods of each technology and related research status are analyzed. Based on current research status and future technology development trend, the future research direction of fault knowledge graph is prospected, which provides reference and enlightenment for the further research of fault knowledge graph.

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陈雪莹,李书剑,周成宁,杨泰波,刘才学.故障知识图谱技术体系研究综述计算机测量与控制[J].,2025,33(5):1-12.

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  • 收稿日期:2024-12-31
  • 最后修改日期:2025-02-14
  • 录用日期:2025-02-17
  • 在线发布日期: 2025-05-20
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