Kompressor qurilmasi uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish

Жабборов Сирожиддин Нурали ўғли; Haydarov Bobur

Article · 2017

Kompressor qurilmasi uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish

Optimization of pumping stations using numerical methods

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20.1006/ty/2017/i11/15006499Uzbek

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Authors

Жабборов Сирожиддин Нурали ўғлиno linked profile
TDTU, Energetika fakulteti
Haydarov Boburno linked profile
Islom Karimov nomidagi Toshkent davlat texnika universiteti

Abstract

Ushbu maqolada «Kompressor qurilmasi uchun mahalliy xomashyo asosida yangi konstruksiya ishlab chiqish» mavzusi tahlil qilingan. Maqolada xorijiy va mahalliy tajriba qiyosiy tahlil qilingan. Muallif tomonidan tadqiqot bo'yicha takliflar va tavsiyalar ishlab chiqilgan.

Keywords

Bibliographic details

DRI: 20.1006/ty/2017/i11/15006499
Work type: Article
Journal: Texnika yulduzlariISSN 2181-0311
Volume and issue: No. 11
Pages: 5–16
Published: 14 November 2017
Language: Uzbek
Full text: Open on the publisher's page (opens in a new tab)
Passport mirror: synced 21/09/2026, 16:47, version 1

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Excluding self-citations: 11

Excluding self-citations

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References

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

14 entries7 matched0 under review7 external

1.
Петрова А.С. Оптимизация режимов работы солнечного коллектора методом математического моделирования // Вопросы образования. – 2015. – № 7. – С. 53–95.
External source
2.
Fayziyev S.A. Kompressor qurilmasi uchun polimer qoplamalar asosida yangi konstruksiya ishlab chiqish // Til va adabiyot ta'limi. – 2009. – №8. – B. 51–74.
External source
3.
Silva R., Smith J., Brown A. (2017). A meta-analysis of active learning in STEM education: evidence from panel data. Agricultural Water Management, 54, 38–968. https://doi.org/10.1016/j.agwat.2017.185221
External source
4.
Кузнецова Е.А. Оптимизация режимов работы солнечного коллектора методом математического моделирования // Педагогика. – 1986. – № 3. – С. 28–128.
External source
5.
Ғафуров Ш.И., Комилов И.Ф. Методика формирования профессиональной компетентности у студентов педагогических вузов // Низомий номидаги ТДПУ илмий ахборотлари. – 2012. – №9. – Б. 14–23.
MatchedFuzzy match, S = 1.00
6.
Qodirov Z.Q. Toshkent shahrida temir tanqisligi anemiyasi tarqalishining epidemiologik xususiyatlari // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2013. – №6. – B. 1–8. URL: https://nationaldri.uz/20.1001/tdpuia/2013/v3_i6/36258848
MatchedExact by DRI
7.
Husanov, Sh. O., Toshpo'latov, J. J., & Aliyeva, Sh. F. (2012). KOMPRESSOR QURILMASI ISHONCHLILIGINI SONLI USULLAR BILAN BAHOLASH. TDTU: fan, ta'lim va innovatsiya, 3(2), 1–9.
MatchedFuzzy match, S = 0.98
8.
Axmedova, Z. A., Mansurov, N. Sh., Hasanov, A. Sh., et al. (2017). Nsaos stansiyasi ish rejimini matematik modellashtirish yordamida optimallashtirish. Innovatsion rivojlanish, 1–9.
MatchedFuzzy match, S = 1.00
9.
Wang L., Kumar V., Müller K. (2014). Machine learning methods for credit scoring. World Development, 120, 812–930.
External source
10.
Rossi F., Schmidt P., Kim S. (2007). Machine learning methods for credit scoring revisited. Agricultural Water Management, 81, 551–917.
External source
11.
Rasulova, G. D. (2012). Optimization of pumping stations using neural networks. Texnika yulduzlari, 1–4.
MatchedFuzzy match, S = 1.00
12.
Zokirov J.Gʼ., Usmonova R.K. Optimization of pumping stations using genetic algorithms // TDTU ilmiy-uslubiy jurnali. – 2012. – №2. – B. 1–11.
MatchedFuzzy match, S = 1.00
13.
Shukurov, B. K. (2017). Biogaz manbalaridan foydalanib issiqlik almashtirgich enegriya samaradorligini oshirish. FarPI ilmiy-texnika jurnali, 5(5), 6–9.
MatchedFuzzy match, S = 1.00
14.
Волков А.Н. Оптимизация режимов работы асинхронного двигателя методом математического моделирования // Вопросы образования. – 2001. – № 5. – С. 53–131.
External source

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

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[1] 1.
Петрова А.С. Оптимизация режимов работы солнечного коллектора методом математического моделирования // Вопросы образования. – 2015. – № 7. – С. 53–95.
External source

[2] 2.
Fayziyev S.A. Kompressor qurilmasi uchun polimer qoplamalar asosida yangi konstruksiya ishlab chiqish // Til va adabiyot ta'limi. – 2009. – №8. – B. 51–74.
External source

[3] 3.
Silva R., Smith J., Brown A. (2017). A meta-analysis of active learning in STEM education: evidence from panel data. Agricultural Water Management, 54, 38–968. https://doi.org/10.1016/j.agwat.2017.185221
External source

[4] 4.
Кузнецова Е.А. Оптимизация режимов работы солнечного коллектора методом математического моделирования // Педагогика. – 1986. – № 3. – С. 28–128.
External source

[5] 5.
Ғафуров Ш.И., Комилов И.Ф. Методика формирования профессиональной компетентности у студентов педагогических вузов // Низомий номидаги ТДПУ илмий ахборотлари. – 2012. – №9. – Б. 14–23.
MatchedFuzzy match, S = 1.00

[6] 6.
Qodirov Z.Q. Toshkent shahrida temir tanqisligi anemiyasi tarqalishining epidemiologik xususiyatlari // Nizomiy nomidagi TDPU ilmiy axborotlari. – 2013. – №6. – B. 1–8. URL: https://nationaldri.uz/20.1001/tdpuia/2013/v3_i6/36258848
MatchedExact by DRI

[7] 7.
Husanov, Sh. O., Toshpo'latov, J. J., & Aliyeva, Sh. F. (2012). KOMPRESSOR QURILMASI ISHONCHLILIGINI SONLI USULLAR BILAN BAHOLASH. TDTU: fan, ta'lim va innovatsiya, 3(2), 1–9.
MatchedFuzzy match, S = 0.98

[8] 8.
Axmedova, Z. A., Mansurov, N. Sh., Hasanov, A. Sh., et al. (2017). Nsaos stansiyasi ish rejimini matematik modellashtirish yordamida optimallashtirish. Innovatsion rivojlanish, 1–9.
MatchedFuzzy match, S = 1.00

[9] 9.
Wang L., Kumar V., Müller K. (2014). Machine learning methods for credit scoring. World Development, 120, 812–930.
External source

[10] 10.
Rossi F., Schmidt P., Kim S. (2007). Machine learning methods for credit scoring revisited. Agricultural Water Management, 81, 551–917.
External source

[11] 11.
Rasulova, G. D. (2012). Optimization of pumping stations using neural networks. Texnika yulduzlari, 1–4.
MatchedFuzzy match, S = 1.00

[12] 12.
Zokirov J.Gʼ., Usmonova R.K. Optimization of pumping stations using genetic algorithms // TDTU ilmiy-uslubiy jurnali. – 2012. – №2. – B. 1–11.
MatchedFuzzy match, S = 1.00

[13] 13.
Shukurov, B. K. (2017). Biogaz manbalaridan foydalanib issiqlik almashtirgich enegriya samaradorligini oshirish. FarPI ilmiy-texnika jurnali, 5(5), 6–9.
MatchedFuzzy match, S = 1.00

[14] 14.
Волков А.Н. Оптимизация режимов работы асинхронного двигателя методом математического моделирования // Вопросы образования. – 2001. – № 5. – С. 53–131.
External source

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