知识图谱技术在预测与健康管理中的应用现状与研究展望

Research Progress and Prospects of Knowledge Graph Technology Applied in Prognostics and Health Management

随着预测与健康管理(PHM)技术的不断发展以及设备智能化、信息化程度的不断提高,预测与健康管理的领域知识与日俱增。知识图谱技术因其强大的知识组织、管理、表示能力以及支持的数据/知识驱动相关方法,受到领域内学者广泛关注。面向预测与健康管理领域,对知识图谱的概念、关键技术、领域应用以及挑战与展望进行了综述。首先,介绍了领域知识图谱的定义和组成要素;其次,讨论了领域知识图谱的构建方法,简要归纳了领域内常用的构建方式和技术;然后,结合领域内知识特点,详细介绍了领域内知识图谱的应用情况;最后,分析了与领域融合的知识图谱研究中存在的挑战以及未来的发展方向。综述旨在帮助研究者加深对知识图谱及其在预测与健康管理领域应用的了解,以促进知识图谱在该领域应用中的进一步发展和创新。

With the development of Prognostics and Health Management(PHM)technologies and the increasing intelligence level and informatization level of the device the knowledge in PHM domain is increasing.Knowledge graph technology attracts attention from scholars in this domain owing to its powerful knowledge organization management and representation capabilities and its support for related data/knowledge-driven approaches.Oriented to PHM domain the concepts key technologies applications challenges and prospects of knowledge graphs are reviewed.Firstly the definition and components of domain knowledge graphs are introduced.Secondly the methods of domain knowledge graph construction are discussed and the common construction modes and technologies in the domain are briefly summarized.Then in view of the characteristics of knowledge in the domain the applications of knowledge graphs in the domain are introduced in detail.Finally the challenges and directions of knowledge graph research for the domain are analyzed.The overview aims to help researchers deepen their understanding of knowledge graph and its application in PHM domain so as to promote further development and innovation of knowledge graphs applied in this domain.