Research on similarity recommendation algorithm of intelligent equipment maintenance system

Yujie Yang; Zikou Yu; Yongyong Duan; Xue Jinsong; Yadong Zhao

doi:10.1117/12.2640278

23 May 2022 Research on similarity recommendation algorithm of intelligent equipment maintenance system

Yujie Yang, Zikou Yu, Yongyong Duan, Xue Jinsong, Yadong Zhao

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 122543G (2022) https://doi.org/10.1117/12.2640278
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

In order to fully apply the data, mine the relevant information in the existing data, judge and analyse the equipment faults that have occurred, and provide intelligent solutions, this paper studies the equipment similarity recommendation algorithm. Referring to the similarity of spatial coordinate points, this paper expands the equipment attribute to spatial coordinate points, and gives different weights to the attributes according to the different influence factors, the attribute domain space is further expanded, and the parameter calculation is carried out by means of matrix analysis and linear fitting. The algorithm is applied to the actual production management system and achieves good results.

Citation Download Citation

Yujie Yang, Zikou Yu, Yongyong Duan, Xue Jinsong, and Yadong Zhao "Research on similarity recommendation algorithm of intelligent equipment maintenance system", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 122543G (23 May 2022); https://doi.org/10.1117/12.2640278

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