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S. V. Baburin
S. V. Baburin
Postgraduate student
G.V. Plekhanov Saint Petersburg Mining Institute
Postgraduate student
G.V. Plekhanov Saint Petersburg Mining Institute

Articles

Electromechanics and mechanical engineering
  • Date submitted
    2015-08-03
  • Date accepted
    2015-10-03
  • Date published
    2016-02-01

The method for synthesis of power supply system topology of mineral resources enterprises on the basis of logical and probabilistic assessments

Article preview

A method for the synthesis of the power supply system topology of mineral resources enterprises. The expediency of using general logic probabilistic method and developed on the its basis software «ARBITR» to calculate the reliability of power supply systems. The synthesis results of power supply system topology on the example of underground mining and gas transmission systems consumers. Recommendations to improve the power supply reliability of mineral resources enterprises.

How to cite: Abramovich B.N., Baburin S.V. The method for synthesis of power supply system topology of mineral resources enterprises on the basis of logical and probabilistic assessments // Journal of Mining Institute. 2016. Vol. 218. p. 233.
Mining electromechanics and mining equipment
  • Date submitted
    2011-08-24
  • Date accepted
    2011-10-27
  • Date published
    2012-02-01

Realibility increase of gas-transport systems objects with help of logical-and-probabilistic method

Article preview

This paper deals with logical-and-probabilistic method in simulating to estimate the reliability of complicated power-supply systems. It gives us information about procedure of logical-and-probabilistic method in simulating, also one example of calculating the reliability of complicated power-supply system (gas compressor station “Torzhokskaya” OJSC  Gazprom). Here you can find how reliability of system itself depends on reliability of its components.

How to cite: Petrov S.P., Makhalin A.N., Baburin S.V. Realibility increase of gas-transport systems objects with help of logical-and-probabilistic method // Journal of Mining Institute. 2012. Vol. 196. p. 261.
Automation of technological processes аnd manufactures in mining and processing industries
  • Date submitted
    2010-10-27
  • Date accepted
    2010-12-12
  • Date published
    2011-04-01

Diagnostics and estimation of the residual resource of the electromechanical equipment working, under trying conditions on electric, parameters

Article preview

The method of diagnostics and estimation of a residual resource of the electromechanical equipment, based on the analysis of electric parameters is offered. Block diagram’s of a diagnostic complex and the data processing program are presented. The way of application of artificial neural networks for data processing of diagnostics and an estimation of a residual resource is considered, and also levels of influence of damages on working capacity of the equipment are resulted.

How to cite: Kozyaruk A.E., Zhukovskii Y.L., Baburin S.V., Korzhev A.A., Krivenko A.V. Diagnostics and estimation of the residual resource of the electromechanical equipment working, under trying conditions on electric, parameters // Journal of Mining Institute. 2011. Vol. 192. p. 161.
Mining electromechanics
  • Date submitted
    2005-06-20
  • Date accepted
    2005-07-29
  • Date published
    2006-01-01

Selection of power supply scheme of compressor station with gas-turbine drive by reliability criterion

Article preview

The typical scheme of power supply of compressor stations with gas turbine drive is described and the problem of improving the reliability of power supply of compressor stations is considered. Different variants of power supply schemes of compressor stations are considered and reliability parameters are calculated for each of them. Recommendations on choosing the optimal scheme of power supply of gas turbine-driven compressor stations with regard to their reliability are given.

How to cite: Baburin S.V. Selection of power supply scheme of compressor station with gas-turbine drive by reliability criterion // Journal of Mining Institute. 2006. Vol. № 1 167. p. 159-161.