Defect detection method of carbon fiber sucker rod based on multi-sensor information fusion and dbn model

HIGHLIGHTS

  • who: Chenquan Hua and collaborators from the College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, China have published the research: Defect Detection Method of Carbon Fiber Sucker Rod Based on Multi-Sensor Information Fusion and DBN Model, in the Journal: (JOURNAL) of 11/06/2022
  • what: In this paper a novel defect detection method based on multi-sensor information fusion and a deep belief network (DBN) model was proposed to identify online its defects. The authors focus on the image surface, interface the edge information during denoising. When constructing the . . .

     

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