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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Toptiyevna, Kuchkarova Dilnoza
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Control & Systems Engineering Electrical & Electronics Engineering

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Increase the operational reliability of the electric drive of the weaving machine Yulbarsovich, Usmonov Shukurillo; Ugli, Sultonov Ruzimatjon Anvarjon; Ugli, Mamadaliev Musulmonkul Imomali; Saleem, Adeel; Toptiyevna, Kuchkarova Dilnoza
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i2.pp704-714

Abstract

The main purpose of this research work is to analyze malfunctions, power consumption, engine overheating and vibrations based on the loadings of electrical circuits through artificial neural networks. The reliability of artificial intelligence systems was proven on the basis of a model-based system depending on the task, and the obtained values were experimentally compared in the electrical operation of existing equipment in general industrial enterprises. An imitation model of the real object was developed. A concept of increasing productivity was set up to identify malfunctions, in contrast to the existing annular method. The article developed an algorithm for increasing the operational reliability of the electrical operation of the weaving machine on the basis of integrated indicators of excitation to determine the probability of failure of electrical operation. The article proposes the possibility of directly processing the diagnostic energy parameters through artificial neural networks. An experimental combination of signals resulted in a model based on input power and torque, and was based on an asynchronous motorized electrical circuit. It has been proven that intellectual reliability can be increased by 3-5% compared to operational reliability in traditional methods.
Co-Authors Saleem, Adeel Ugli, Mamadaliev Musulmonkul Imomali Ugli, Sultonov Ruzimatjon Anvarjon Yulbarsovich, Usmonov Shukurillo