Deep learning-based machinery fault diagnostics

HIGHLIGHTS

  • who: Hongtian Chen and colleagues from the (UNIVERSITY) have published the research: Deep Learning-Based Machinery Fault Diagnostics, in the Journal: Machines 2022, 10, 690. of 13/08/2022
  • how: The results showed that the proposed method improved the operational optimization performance of an industrial cut-made process by 23.5% compared with classic CBR and 13.3% compared with case-based fuzzy reasoning. The simulation results showed that the proposed strategy can significantly improve the problem of the uniform distribution of alumina concentration. The experimental results showed that the sPSDAE-CNN model still has . . .

     

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