Научная статья на тему 'RESEARCH ON THE DEPENDENCE OF AIR HUMIDITY ON TRANSFORMERS' BREAKDOWN INDICATORS'

RESEARCH ON THE DEPENDENCE OF AIR HUMIDITY ON TRANSFORMERS' BREAKDOWN INDICATORS Текст научной статьи по специальности «Энергетика и рациональное природопользование»

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Ключевые слова
breakdown indicators / traction transformers / correlations. / аварийные индикаторы / тяговые трансформаторы / корреляции.

Аннотация научной статьи по энергетике и рациональному природопользованию, автор научной работы — Kutbidinov, O. M., Yusupov, D. T.

This article collects data on the breakdown indicators of traction transformers in operation in the railway system, as well as air humidity.The correlations between the number of faults in the traction transformers and the humidity in the air were determined. A regression model was used to determine these correlations.

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ИССЛЕДОВАНИЕ ЗАВИСИМОСТИ ВЛАЖНОСТИ ВОЗДУХА ОТ ПОКАЗАТЕЛЕЙ ПРОМОЙКИ ТРАНСФОРМАТОРОВ

В данной статье собраны данные об аварийных показателях тяговых трансформаторов, находящихся в эксплуатации в системе железных дорог, а также о влажности воздуха. Определены корреляции между количеством неисправностей тяговых трансформаторов и влажностью воздуха. Для определения этих корреляций использовалась регрессионная модель.

Текст научной работы на тему «RESEARCH ON THE DEPENDENCE OF AIR HUMIDITY ON TRANSFORMERS' BREAKDOWN INDICATORS»

Oriental Renaissance: Innovative, (E)ISSN:2181-1784

educational, natural and social sciences www.oriens.uz

SJIF 2023 = 6.131 / ASI Factor = 1.7 3(5), May, 2023

RESEARCH ON THE DEPENDENCE OF AIR HUMIDITY ON TRANSFORMERS' BREAKDOWN INDICATORS

O. M. Kutbidinov, D. T. Yusupov

institute of Energy Problems, Academy of Sciences of the Republic of Uzbekistan,

Tashkent, Uzbekistan 2,3,4,5 Tashkent state transport university, Tashkent, Uzbekistan E-mail: odiljon.qutbidinov@bk.ru

ABSTRACT

This article collects data on the breakdown indicators of traction transformers in operation in the railway system, as well as air humidity.The correlations between the number of faults in the traction transformers and the humidity in the air were determined. A regression model was used to determine these correlations.

Key words: breakdown indicators, traction transformers, correlations.

АННОТАЦИЯ

В данной статье собраны данные об аварийных показателях тяговых трансформаторов, находящихся в эксплуатации в системе железных дорог, а также о влажности воздуха. Определены корреляции между количеством неисправностей тяговых трансформаторов и влажностью воздуха. Для определения этих корреляций использовалась регрессионная модель.

Ключевые слова: аварийные индикаторы, тяговые трансформаторы, корреляции.

INTRODUCTION

Failure of the traction transformer can cause failures of other electrical equipments of electric locomotives [1-5]. This leads to the failure of electric locomotives, which in turn leads to many other problems. During operation, traction transformers are affected by many external factors that cause them to break down and fail [6-9]. One of the main factors influencing the performance of transformers is humidity. The presence of moisture (water) in the transformer leads to failure of the insulation, changes in the properties of the transformer oil [5-11].

RESEARCH METHOD

Data on the number of failures of traction transformers of ODTsE 5000/25 B and OTsR 5600/25 types in operation in the railway system for 2017-2019, as well as humidity in the air were collected.

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SJIF 2023 = 6.131 / ASI Factor = 1.7

THE RESULTS OBTAINED AND THEIR ANALYSIS:

Regression analysis shows how the variables xlyxZy..xn depend on the output variable y.

The linear regression equation [2-7], which establishes a linear relationship between the two indicators, is:

Where,

the number of traction transformers repaired; . .. -humidity index; . - - regression constant; j. -is the regression coefficient [2-5]. For: ODTsE -5000/25 B

2017

----------------

__________

____________

________-P-5---

0

-10 0 5 10 15 20

Figure 1. Dependence of the number of faults of the traction transformer type ODTsE-5000 / 25B for 2017 on the humidity in the air The linear equation in2017:

y = -0,0083x + 2,0442 (2)

Determination coefficient: R2 = 0.0124 The degree-dependent equation in 2017:

y = -0,0001x5 + 0,0627x4 - 10,522x3 + 871,85x2 - 35522x + 566527 (3) Determination coefficient: R2 = 0,8645

2018

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SJIF 2023 = 6.131 / ASI Factor = 1.7

----------------- -----------------

i " " _____________

__________fV-^--

0

-10

-S

20

0 5 10

Figure 2. Dependence of the number of faults of the traction transformer type ODTsE-5000 / 25B for 2018 on the humidity in the air The linear equation in 2018: y = 0,0123x + 0,4852 Determination coefficient: R2 = 0,3461 The degree-dependent equation in 2018: y = -8-10-5 x3 + 0,016x2 - 0,9304x + 18,119 Determination coefficient R2 = 0,998 2019

(4)

(5)

---------3--5—

---------

k

Jr

____________t__.

_________A _ _.

0

-10 -5 0 5 10 15 20

Figure 3. Dependence of the number of faults of the traction transformer type ODTsE-5000 / 25B for 2019 on the humidity in the air

The linear equation in 2019:

y = -0,0081x + 2,0093 (6)

Determination coefficient: R2 = 0,1001

The degree-dependent equation in 2019:

y = 4-10-7 x5 - 0,0001x4 + 0,0202x3 - 1,3565x2 + 44,262x - 554,18

Determination coefficient: R2 = 0,8762

(7)

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SJIF 2023 = 6.131 / ASI Factor = 1.7

For: OTsR -5600/25

2017

_____A_____2___

____________

__________A-5---

0

-10

-S

20

0 5 10 15

Figure 4. Dependence of the number of faults of the traction transformer type OTsR -5600/25 for 2017 on the humidity in the air The linear equation in 2017:

y = 0,0066x + 1,2112 (8)

Determination coefficient: R2 = 0,077 The degree-dependent equation in 2017: y = 0,0002x3 - 0,0349x2 + 2,1066x - 38,037 (9)

Determination coefficient: R2 = 0,9669

2018

----------------- ..........-j~zr-- m 1 ----------------- ----------------- -----------------

___________1-5---

___________(xsr--

0

-10 0 5 10 15 20

Figure 5. Dependence of the number of faults of the traction transformer type OTsR -5600/25 for 2018 on the humidity in the air The linear equation of in 2018: y = 0,0155x + 0,1906 (10)

Determination coefficient: R2 = 0,4639 The degree-dependent equation in 2018:

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SJIF 2023 = 6.131 / ASI Factor = 1.7

y = 110-4 x3 - 0,0192x2 + 1,2069x - 22,872 Determination coefficient: R2 = 0,948 2019

(11)

-----------CT.-D" ------------------

-j— -----------o-jz---

-----------T.-D"-

I" fV Ji

t/ro -e-

-10

-5

10

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15

20

Figure 6. Dependence of the number of faults of the traction transformer type OTsR -5600/25 for 2019 on the humidity in the air The linear equation in 2017: y = -0,002x + 1,4291 (12)

Determination coefficient: R2 = 0,0107 The degree-dependent equation in 2019:

y = -7-10-7 x5 + 0,0002x4 - 0,0281x3 + 1,6652x2 - 46,789x + 501,64 (13)

Determination coefficient: R2 = 0,7067

Total

2017

0 20 40 60 SO 100 120

Figure 7. Dependency of 2017's overall traction transformer rate of failure on air humidity

The linear equation in 2017: y = -0,0085x + 2,6519 (14)

Determination coefficient: R2 = 0,0979

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SJIF 2023 = 6.131 / ASI Factor = 1.7

The degree-dependent equation in 2017:

y = -6-10-9 x6 + 2-10-6 x5 - 0,0003x4 + 0,0252x3 - 0,9797x2 + 18,418x -121,66

(15)

Determination coefficient: R2 = 0,4823 2018

Figure 8. Dependency of 2018's overall traction transformer rate of failure on air humidity

The linear equation in 2018:

y = -0,0085x + 2,6519 (16)

Determination coefficient: R2 = 0,0979 The degree-dependent equation in 2018:

y = -6-10-6 x6 + 2-10-6 x5 - 0,0003x4 + 0,0252x3 - 0,9797x2 + 18,418x - 121,66

(17)

Determination coefficient: R2 = 0,4823 2019

0 20 40 60 SO 100 120

Figure 9. Dependency of 2019's overall traction transformer rate of failure on air humidity

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SJIF 2023 = 6.131 / ASI Factor = 1.7

The linear equation in 2019:

y = -0,0085x + 2,6519 (18)

Determination coefficient: R2 = 0,0979 The degree-dependent equation in 2019:

y = -6-10-9 x6 + 2-10-6 x5 - 0,0003x4 + 0,0252x3 - 0,9797x2 + 18,418x - 121,66

(19)

Determination coefficient: R2 = 0,4823 CONCLUSION

The equations of dependence of traction transformers on humidity are obtained. The dependence of traction transformers on air humidity was found to be exponential.

REFERENCES

1. D Yusupov, O Kutbidinov, Sh Samadov, and E Abdullaev Investigation of factors influencing the operational characteristics of traction transformers E3S Web of Conferences 274, 13007 (2021) https://doi.org/10.1051/e3sconf/202127413007

2. Авазов, Б. К., Нуриддинов, С. Б., угли Хасанов, Ф. Ф., & Каршиев, к. Т. (2022). ОСОБЕННОСТИ МОДЕЛИРОВАНИЯ ИЗНОСА ИЗОЛЯЦИИ СИЛОВЫХ ТРАНСФОРМАТОРОВ. Academic research in educational sciences, 3(10), 524-532

3. Yusupov, D. T. Regression model of the dependence of the technical failure of traction transformers on air humidity / D. T. Yusupov, O. M. Kutbidinov // Innovative technologies in water, communal services and water transport [Electronic resource]: materials of the II republican scientific and technical conference, 28 - April 29, 2022 / editorial board: S. V. Kharitonchik [and others]. - Minsk: BNTU, 2022. - S. 442-446. T.P.

4. Khalikov A., Fayzullaev G. The study of the error of the technical means of functional diagnostics of traction induction motors by the method of parametric structural schemes //RECENT SCIETIFIC INVESTIGATION. - 2020. - С. 95-103.

5. Odiljon Kutbidinov, Dilmurod, Yusupov, Shakhboz Samado, Eldor Abdullaev Experimental Research of Utilized Oils of Traction Transformers, International Journal of Advanced Research in Science, Engineering and Technology, 3 (2021).

6. Denmukhammadiev A.M., Yusupov D.T., Shoyusupov S.A., Djalilov A.U., Nazarov O.A. Diagnostics of power transformers operating for many years in the power supply system through gases in the composition of transformer oil Journal of Physics: Conference Series, 2022, 2176(1), 012064

Oriental Renaissance: Innovative, educational, natural and social sciences

SJIF 2023 = 6.131 / ASI Factor = 1.7

3(5), May, 2023

7. R.M Khrisinich. A.S., Lukovenko, Prediction of reliability and operating modes of traction transformers under extreme load conditions, Modern technologies. System analysis, 2 (2015)

8. D T Yusupov, H A Khamrakulova Regression Model for Determining the Breaking Voltage of Cleaned Transformer Oils International Journal of Advanced Research in Science, Engineering and Technology 3 (20210

9. Yusupov, D. T., & Kutbidinov, O. M. (2022). Regression model of the dependence of the technical failure of traction transformers on air humidity.

10. Nuriddinov, S., Avazov, B., Hasanov, F., & Rakhmonova, Y. (2021). Analysis of the causes of traction electric failures of electric cargo cars operated on railways of the Republic of Uzbekistan. In E3S Web of Conferences (Vol. 264, p. 05041). EDP

11. Авазов, Б. К., Базаров, М., & Нуриддинов, С. Б. (2022). ИШЛАТИЛИБ БУЛИНГАН КУЧ ТРАНСФОРМАТОР МОЙЛАРИНИ ЭКСПЛУАТАЦИЯ ЖОЙИДА ТОЗАЛАШ ИМКОНИЯТЛАРИ. Journal of new century innovations, 11(4), 42-45.

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Sciences.

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