CURRENT ASPECTS IN AUTOMATION OF SCIENTIFIC RESEARCHES OF MACHINERY SURFACE QUALITY USING MACHINE LEARNING METHODS
Abstract and keywords
Abstract (English):
A procedure is shown for the analysis of material structure in the parts surface layer manufactured through ion-plasma sputtering allowing the allocation and estimate automatically layers according to dislocation uniformity. A procedure is offered for the assessment of surface roughness on the basis of probabilistic-statistic classification of Talyrond trace allowing the definition and estimate automatically the peculiarities of a surface profile.

Keywords:
surface quality, scientific research automation, material structure, roughness, machine learning
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References

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