Asinxron dvigatel energiya sarfini imitatsion modellashtirish yordamida optimallashtirish

Rahimova M.V.

doi:10.52016/tdtuilm.2025.17.2.5

Article · 2025

Asinxron dvigatel energiya sarfini imitatsion modellashtirish yordamida optimallashtirish

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20.1006/tdtuilm/2025/v17_i2/64745450Uzbek

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Rahimova M.V.ORCID 0000-0002-0029-4323 (opens in a new tab)
Бухарский инженерно-технологический институт

Abstract

Ushbu maqolada «Asinxron dvigatel energiya sarfini imitatsion modellashtirish yordamida optimallashtirish» mavzusi tahlil qilingan. Muammoning nazariy asoslari va amaliy jihatlari yoritilgan. Muallif tomonidan asinxron dvigatel bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1006/tdtuilm/2025/v17_i2/64745450
Work type: Article
Journal: TDTU ilmiy-uslubiy jurnaliISSN 2181-0338
Volume and issue: Vol. 17, No. 2
Pages: 40–48
Published: 3 May 2025
Language: Uzbek
External DOI: 10.52016/tdtuilm.2025.17.2.5 (opens in a new tab)
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:50, version 1

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References

Sources cited by this work and how they were matched to works in the registry.

14 entries7 matched2 under review5 external

1.
Wang L., Kim S. (2009). Blockchain applications in public administration. Physical Review B, 86, 230–962. https://doi.org/10.1103/PhysRevB.2009.566339
External source
2.
Zokirova I.G'., Rahimova M.V., Yusupova G.U., va boshq. Qoraqalpog'iston Respublikasi sug'urta bozori investitsion jozibadorligini baholash (Surxondaryo viloyati misolida) // Xalqaro moliya va hisob. – 2025. – B. 14–23. https://nationaldri.uz/20.1017/74102449
MatchedExact by DRI→ Qoraqalpog'iston Respublikasi sug'urta bozori investitsion jozibadorligini baholash (Surxondaryo viloyati misolida)
3.
Морозова Н.Г. Оптимизация температурного режима насосной станции методом математического моделирования. – М.: Наука, 2024. – 325 с.
Under review
4.
Yunusov, B. T., Eshmatov, J. Q., Ro'ziyev, U. J., et al. (2018). Transformator podstansiyasi tebranish xarakteristikalarini matematik modellashtirish yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 6(9), 13–16. URL: https://nationaldri.uz/20.1029/farpi/2018/v6_i9/93322796
MatchedExact by DRI
5.
Fayziyeva N.N. Qayta tiklanuvchi energiya manbalaridan foydalanib shamol generatori energiya samaradorligini oshirish // Xalq ta'limi. – 2018. – №2. – B. 43–94.
Under review
6.
Yoqubova D.M. Temir yo'l izi ishonchliligini imitatsion modellashtirish bilan baholash. – Toshkent: Universitet, 2011. – 233 b.
External source
7.
Asqarov A.A. Kompressor qurilmasi harorat rejimini eksperimental tadqiqot yordamida optimallashtirish (Toshkent viloyati misolida) // Xalq ta'limi. – 2018. – №1. – B. 42–104.
External source
8.
Rahimova M.V. Issiqlik energiya sarfini neyron tarmoqlar yordamida optimallashtirish (Andijon viloyati misolida) // TDTU ilmiy-uslubiy jurnali. – 2024. – №3. – B. 22–34.
MatchedFuzzy match, S = 1.00
9.
Rahimova, M. V., Ismoilova, N. G'., & Usmonova, R. K. (2019). Quyosh kollektori tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 7(9), 1–8. https://nationaldri.uz/20.1029/farpi/2019/v7_i9/22470092
MatchedExact by DRI
10.
Ахмедова З.А. Насос стансияси ишончлилигини нейрон тармоқлар билан баҳолаш // ТИҚХММИ илмий-услубий журнали. – 2017. – №4. – Б. 12–22.
MatchedFuzzy match, S = 1.00
11.
Umrzoqov, M. Y., & Komilova, N. L. (2013). PAXTA TOZALASH MASHINASI UCHUN MASALALARI MAHALLIY XOMASHYO ASOSIDA YANGI KONSTRUKSIYA ISHLAB CHIQISH. FarPI ilmiy-texnika jurnali, 2(4), 1–12.
MatchedFuzzy match, S = 0.94
12.
Volkov A.N. Asinxron dvigatel ishonchliligini imitatsion modellashtirish bilan baholash // Til va adabiyot ta'limi. – 2019. – №1. – B. 56–77.
External source
13.
Haydarova, O‘. M. (2022). Biogaz manbalaridan foydalanib nasos stansiyasi enregiya samaradorligini oshirish. Toshkent.
MatchedFuzzy match, S = 0.99
14.
Tanaka H. (2002). Deep residual learning for image recognition. World Development, 88, 718–908.
External source

Citing works

Works in the registry that cite this work, newest first.

Asinxron dvigatel harorat rejimini sonli usullar yordamida optimallashtirish
Authors: Rayhona Husanova, Алиева Сарвиноз Беҳруз қизи, Umrzoqova Gulchehra G'olib qiziFarPI ilmiy-texnika jurnali
DRI20.1029/farpi/2026/v14_i6/80316818 Open on nationaldri.uzArticle0views0downloads
Year2026
Citations0
Geotermal energiya manbalaridan foydalanib transformator podstansiyasi energiya samaradorligini oshirish (Jizzax viloyati misolida)
Authors: Valiyeva Nasiba Shavkatovna, Otabek NormatovTATU ilmiy-uslubiy jurnali
DRI20.1003/tatuilm/2026/v13_i2/26234640 Open on nationaldri.uzArticle9views0downloads
Year2026
Citations0
Authors: TDTU: fan, ta'lim va innovatsiya
DRI20.1006/tdtufti/2026/v16_i1/40519978 Open on nationaldri.uzArticle20views0downloads
Year2026
Citations3
Authors:
DRI20.2004/monografiya/b2025/88172453 Open on nationaldri.uzBook5views0downloads
Year2025
Citations1

[1] 1.
Wang L., Kim S. (2009). Blockchain applications in public administration. Physical Review B, 86, 230–962. https://doi.org/10.1103/PhysRevB.2009.566339
External source

[2] 2.
Zokirova I.G'., Rahimova M.V., Yusupova G.U., va boshq. Qoraqalpog'iston Respublikasi sug'urta bozori investitsion jozibadorligini baholash (Surxondaryo viloyati misolida) // Xalqaro moliya va hisob. – 2025. – B. 14–23. https://nationaldri.uz/20.1017/74102449
MatchedExact by DRI→ Qoraqalpog'iston Respublikasi sug'urta bozori investitsion jozibadorligini baholash (Surxondaryo viloyati misolida)

[3] 3.
Морозова Н.Г. Оптимизация температурного режима насосной станции методом математического моделирования. – М.: Наука, 2024. – 325 с.
Under review

[4] 4.
Yunusov, B. T., Eshmatov, J. Q., Ro'ziyev, U. J., et al. (2018). Transformator podstansiyasi tebranish xarakteristikalarini matematik modellashtirish yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 6(9), 13–16. URL: https://nationaldri.uz/20.1029/farpi/2018/v6_i9/93322796
MatchedExact by DRI

[5] 5.
Fayziyeva N.N. Qayta tiklanuvchi energiya manbalaridan foydalanib shamol generatori energiya samaradorligini oshirish // Xalq ta'limi. – 2018. – №2. – B. 43–94.
Under review

[6] 6.
Yoqubova D.M. Temir yo'l izi ishonchliligini imitatsion modellashtirish bilan baholash. – Toshkent: Universitet, 2011. – 233 b.
External source

[7] 7.
Asqarov A.A. Kompressor qurilmasi harorat rejimini eksperimental tadqiqot yordamida optimallashtirish (Toshkent viloyati misolida) // Xalq ta'limi. – 2018. – №1. – B. 42–104.
External source

[8] 8.
Rahimova M.V. Issiqlik energiya sarfini neyron tarmoqlar yordamida optimallashtirish (Andijon viloyati misolida) // TDTU ilmiy-uslubiy jurnali. – 2024. – №3. – B. 22–34.
MatchedFuzzy match, S = 1.00

[9] 9.
Rahimova, M. V., Ismoilova, N. G'., & Usmonova, R. K. (2019). Quyosh kollektori tebranish xarakteristikalarini sonli usullar yordamida optimallashtirish. FarPI ilmiy-texnika jurnali, 7(9), 1–8. https://nationaldri.uz/20.1029/farpi/2019/v7_i9/22470092
MatchedExact by DRI

[10] 10.
Ахмедова З.А. Насос стансияси ишончлилигини нейрон тармоқлар билан баҳолаш // ТИҚХММИ илмий-услубий журнали. – 2017. – №4. – Б. 12–22.
MatchedFuzzy match, S = 1.00

[11] 11.
Umrzoqov, M. Y., & Komilova, N. L. (2013). PAXTA TOZALASH MASHINASI UCHUN MASALALARI MAHALLIY XOMASHYO ASOSIDA YANGI KONSTRUKSIYA ISHLAB CHIQISH. FarPI ilmiy-texnika jurnali, 2(4), 1–12.
MatchedFuzzy match, S = 0.94

[12] 12.
Volkov A.N. Asinxron dvigatel ishonchliligini imitatsion modellashtirish bilan baholash // Til va adabiyot ta'limi. – 2019. – №1. – B. 56–77.
External source

[13] 13.
Haydarova, O‘. M. (2022). Biogaz manbalaridan foydalanib nasos stansiyasi enregiya samaradorligini oshirish. Toshkent.
MatchedFuzzy match, S = 0.99

[14] 14.
Tanaka H. (2002). Deep residual learning for image recognition. World Development, 88, 718–908.
External source