Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS)
Saleem, Adeel
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Modelling and implementation of a photovoltaic system through improved voltage control mechanism Usmonov, Shukurillo; Iqbal, Atif; Saleem, Adeel; Khosiljonovich, Kholiddinov Ilkhombek; Odiljanovich, Uzbekov Mirsoli; Ugli, Eraliev Khojiakbar Abdinabi; Ugli, Mamadaliev Musulmonkul Imomali
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i1.pp412-421

Abstract

Renewable energy dependence is increasing daily due to the decaying of conventional energy sources. Another primary reason is the increment of pollution as well as global warming. Various alternate energy sources are being used to replace conventional ones. Among them, the prominent photovoltaic source provides clean and green energy. This research focuses on energy production through the photovoltaic source. The photovoltaic cells combination is used along with the boost converter to get the maximal power output. The maximum power point tracker was designed and implemented to obtain the optimal power from the photovoltaic cells, which do not provide the desired results. Therefore, the voltage control method is an alternative to the maximum power point tracker. Both methodologies compared at different intensities of solar light. The load is attached to the photovoltaic output to test its reliability and smooth performance. The system is designed using MATLAB simulation, and the desired results are obtained.
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 Atif Iqbal Khosiljonovich, Kholiddinov Ilkhombek Odiljanovich, Uzbekov Mirsoli Toptiyevna, Kuchkarova Dilnoza Ugli, Eraliev Khojiakbar Abdinabi Ugli, Mamadaliev Musulmonkul Imomali Ugli, Sultonov Ruzimatjon Anvarjon Usmonov, Shukurillo Yulbarsovich, Usmonov Shukurillo