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The massive data generated by unmanned systems is scattered and lacks in connection, and information sharing is difficult. It is difficult to meet the maintenance support requirements of unmanned systems with increasing complexity and integration. Knowledge graph technology can extract complex data information into structured knowledge, establish connections between data, and enhance semantic information between knowledge. This paper takes the fault data as the research object, and uses knowledge graph technology to accomplish knowledge extraction, knowledge fusion and knowledge processing, and form a series of interrelated knowledge, which provides a feasible way to construct fault knowledge graph in unmanned system domain. The knowledge graph technology uses massive data integrated by various sensors of the unmanned system to build a knowledge base, which can effectively integrate the scattered data in the unmanned system field, thereby improving the utilization rate of the knowledge of the unmanned system field, and helping maintenance support personnel to quickly and accurately find fault knowledge. It has important military application prospects for the maintenance and support of unmanned systems.