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Nataliya V. Vasilyeva
Scientific Director, Ph.D., Associate Professor
Saint-Petersburg Mining University
Personal or department link
Scientific Director, Ph.D., Associate Professor
Personal or department link
Saint-Petersburg Mining University
Saint-Petersburg
Russia
315
Total cited
11
Hirsch index

Articles

Metallurgy and concentration
  • Date submitted
    2020-06-23
  • Date accepted
    2021-03-02
  • Date published
    2021-04-21

Automated digitization of radial charts

Article preview

Radial charts were commonly used in the industry to allow retrospective assessment of technological parameters. Today it is relevant to digitize the obtained data in order to simplify the automation of technological processes. Digitization of radial charts by means of standard methods is carried out with the help of human labor at significant time costs. The article proposes an automated method for digitizing radial charts using software, developed in the LabVIEW programming environment. The results of processing radial charts are displayed on the screen in numerical and graphical form, and can also be exported to a file (for example, to Notepad or MS Excel). The presented technique can be applied to images obtained on a color or black-and-white scanner, which minimizes geometric distortions, associated with the conversion of a paper document into electronic form, and ensures recognition quality of the clear plot line with an average relative error of up to 3 %. In case of ink fading or perspective photos of the diagram, the value of relative error can reach 8 %, as a result of which additional manual correction of the data will be required.

How to cite: Vasilyeva N.V., Boikov A.V., Erokhina O.O., Trifonov A.Y. Automated digitization of radial charts // Journal of Mining Institute. 2021. Vol. 247. p. 82-87. DOI: 10.31897/PMI.2021.1.9
Without section
  • Date submitted
    2012-09-02
  • Date accepted
    2012-11-09
  • Date published
    2013-03-01

Membership function of process parameters formation based on fuzzy clustering оf production data

Article preview

Proposed a membership functions of process parameters forming method based on fuzzy clustering of production data. shows advantages of its  use.

How to cite: Vasileva N.V., Kadyrov E.D. Membership function of process parameters formation based on fuzzy clustering оf production data // Journal of Mining Institute. 2013. Vol. 202. p. 251.
Without section
  • Date submitted
    2012-09-28
  • Date accepted
    2012-11-25
  • Date published
    2013-03-01

Neuronet controller design for complex technological processes

Article preview

The block diagram of the neural network controller design for complex technological processes is described. Shows the principle of its  operation.

How to cite: Koteleva N.I., Vasileva N.V. Neuronet controller design for complex technological processes // Journal of Mining Institute. 2013. Vol. 202. p. 254.