Privacy-preserving for assembly deviation prediction in a machine learning model of hydraulic equipment under value chain collaboration

HIGHLIGHTS

• who: Hao Qiu from the State Key LaboratoryZhejiang University have published the research: Privacy-preserving for assembly deviation prediction in a machine learning model of hydraulic equipment under value chain collaboration, in the Journal: Scientific Reports Scientific Reports
• what: In this paper, a hierarchical graph attention network (HGAT)27-29 was proposed to predict the unknown assembly deviations of the hydraulic equipment, and a derivation gradient matrix is defined for equipment maintenance. In the present work, firstly, the graph model used to predict the deviations is proposed. The aim of this section is to increase . . .
  

   

  

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