Abstract

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 of fault knowledge graph, including template-based fault knowledge question-answering and troubleshooting assistance based on knowledge graph reasoning.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.