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Based on a large amount of engineering machinery fault data collected by Tianyuan Co., this paper provides its formal definition aiming at the fault knowledge graph. This paper has also studied the technical details of knowledge acquisition and knowledge fusion in the field of engineering machinery and equipment failures based on multiple data sources. Then the paper proposes a data-driven iterative automatic construction method of knowledge graph, and explores the intelligent application ofdoi:10.12783/dtcse/smce2017/12418 fatcat:ccpbr4gx65htta6ffo7d5mrj5i