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. 2022 Nov 10;22(22):8677. doi: 10.3390/s22228677
Algorithm 1: PM pseudocode
  1. Startproduction process;

  2. Initial setting of production machine;

  3. Ifcheck of machine is positive Then continue production (and parameter checking) until production ends;

  4. Else(negative check) choose the suitable idoneous algorithm;

  5.    If the unsupervised algorithm is ‘True’ Then perform data clustering and

  6.    structure risk maps;

  7.        If a moderate alert is estimated then set the standard machine

  8.        parameter;

  9.       Else (high alert) introduce further corrective actions;

  10.       End If;

  11.    Else (False of the unsupervised algorithm) selection of the supervised

  12.     algorithm providing data prediction/classification through training and

  13.    testing models;

  14.         If a moderate alert is estimated then set the standard machine

  15.         parameters;

  16.         Else (high alert) introduce further corrective actions;

  17.         End If;

  18.    End If;

  19. End If.