DIAGNOSIS OF PROCESS EQUIPMENT IN THE PROCESSING OF CABLE WASTE, BASED ON ARTIFICIAL NEURAL NETWORKS

Authors

O.Kh. Ishnazarov, Limited Liability Company «Scientific and Technical Center», 100074, Tashkent city, Republic of UzbekistanFollow
V.V. Tsypkina, Tashkent State Technical University, 100095, Tashkent city, Republic of UzbekistanFollow
V.P. Ivanova, Tashkent State Technical University, 100095, Tashkent city, Republic of UzbekistanFollow

Abstract

The article discusses the increasing efficiency of the technological equipment for the processing of cable waste. It is proposed to solve the problem by using modern expert systems, such as artificial neural networks (ANN), which will allow diagnosing the working system of the equipment, making technical and technological assessment of its condition effectively, taking into account noisiness of input data. The solution to the technological problem is based on the use of artificial intelligence methods, based on artificial neural networks, which allow achieving new functionality of the cable waste processing line and improving the quality of technical diagnostics.

First Page

193

Last Page

198

References

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Recommended Citation

Ishnazarov, O.Kh.; Tsypkina, V.V.; and Ivanova, V.P. (2020) "DIAGNOSIS OF PROCESS EQUIPMENT IN THE PROCESSING OF CABLE WASTE, BASED ON ARTIFICIAL NEURAL NETWORKS," Chemical Technology, Control and Management: Vol. 2020: Iss. 5, Article 34.
DOI: https://doi.org/10.34920/2020.5-6.193-197