Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods

Mehmet Taciddin Akcay; Ilhan Kocaarslan; Emrah Bal

doi:10.1109/CEIT.2018.8751783

Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods

Mehmet Taciddin Akcay, Ilhan Kocaarslan, Emrah Bal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this study, the determination of the rail voltage for a 1500 V DC-fed rail system by means of the adaptive neuro-fuzzy inference system (ANFIS), support vector machines (SVM) and artificial neural networks (ANN). The distance occurring on the line was calculated with regard to the operating parameters by means of the ANFIS, SVM and ANN. The ANFIS, SVM and ANN were explained and a comparison was made. The electrification system in the rail systems is designed with regard to the operating data and design parameters. While the electrification system is formed, the maximum rail voltage needs to be provided in the limits of the touch voltage limits during the operation. The highest value of the rail voltage occurring on the line determined by the line characteristic properties. This value needs to be kept within certain limits for the continuity of the operation. The data created regarding one-way and two-way supply conditions were examined for simulation.

Original language	English
Title of host publication	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018
Editors	Seref Naci Engin, Dogan Onur Arisoy, Muhammed Ali Oz
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538676417
DOIs	https://doi.org/10.1109/CEIT.2018.8751783
Publication status	Published - Oct 2018
Externally published	Yes
Event	6th International Conference on Control Engineering and Information Technology, CEIT 2018 - Istanbul, Turkey Duration: 25 Oct 2018 → 27 Oct 2018

Publication series

Name	2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018

Conference

Conference	6th International Conference on Control Engineering and Information Technology, CEIT 2018
Country/Territory	Turkey
City	Istanbul
Period	25/10/18 → 27/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

ANFIS
Ann
Dc traction power
Subway electrification
SVM

Access to Document

10.1109/CEIT.2018.8751783

Cite this

Akcay, M. T., Kocaarslan, I., & Bal, E. (2018). Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods. In S. N. Engin, D. O. Arisoy, & M. A. Oz (Eds.), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018 Article 8751783 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEIT.2018.8751783

Akcay, Mehmet Taciddin ; Kocaarslan, Ilhan ; Bal, Emrah. / Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods. 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. editor / Seref Naci Engin ; Dogan Onur Arisoy ; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

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title = "Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods",

abstract = "In this study, the determination of the rail voltage for a 1500 V DC-fed rail system by means of the adaptive neuro-fuzzy inference system (ANFIS), support vector machines (SVM) and artificial neural networks (ANN). The distance occurring on the line was calculated with regard to the operating parameters by means of the ANFIS, SVM and ANN. The ANFIS, SVM and ANN were explained and a comparison was made. The electrification system in the rail systems is designed with regard to the operating data and design parameters. While the electrification system is formed, the maximum rail voltage needs to be provided in the limits of the touch voltage limits during the operation. The highest value of the rail voltage occurring on the line determined by the line characteristic properties. This value needs to be kept within certain limits for the continuity of the operation. The data created regarding one-way and two-way supply conditions were examined for simulation.",

keywords = "ANFIS, Ann, Dc traction power, Subway electrification, SVM",

author = "Akcay, {Mehmet Taciddin} and Ilhan Kocaarslan and Emrah Bal",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Control Engineering and Information Technology, CEIT 2018 ; Conference date: 25-10-2018 Through 27-10-2018",

year = "2018",

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Akcay, MT, Kocaarslan, I & Bal, E 2018, Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods. in SN Engin, DO Arisoy & MA Oz (eds), 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018., 8751783, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Institute of Electrical and Electronics Engineers Inc., 6th International Conference on Control Engineering and Information Technology, CEIT 2018, Istanbul, Turkey, 25/10/18. https://doi.org/10.1109/CEIT.2018.8751783

Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods. / Akcay, Mehmet Taciddin; Kocaarslan, Ilhan; Bal, Emrah.
2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. ed. / Seref Naci Engin; Dogan Onur Arisoy; Muhammed Ali Oz. Institute of Electrical and Electronics Engineers Inc., 2018. 8751783 (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In this study, the determination of the rail voltage for a 1500 V DC-fed rail system by means of the adaptive neuro-fuzzy inference system (ANFIS), support vector machines (SVM) and artificial neural networks (ANN). The distance occurring on the line was calculated with regard to the operating parameters by means of the ANFIS, SVM and ANN. The ANFIS, SVM and ANN were explained and a comparison was made. The electrification system in the rail systems is designed with regard to the operating data and design parameters. While the electrification system is formed, the maximum rail voltage needs to be provided in the limits of the touch voltage limits during the operation. The highest value of the rail voltage occurring on the line determined by the line characteristic properties. This value needs to be kept within certain limits for the continuity of the operation. The data created regarding one-way and two-way supply conditions were examined for simulation.

AB - In this study, the determination of the rail voltage for a 1500 V DC-fed rail system by means of the adaptive neuro-fuzzy inference system (ANFIS), support vector machines (SVM) and artificial neural networks (ANN). The distance occurring on the line was calculated with regard to the operating parameters by means of the ANFIS, SVM and ANN. The ANFIS, SVM and ANN were explained and a comparison was made. The electrification system in the rail systems is designed with regard to the operating data and design parameters. While the electrification system is formed, the maximum rail voltage needs to be provided in the limits of the touch voltage limits during the operation. The highest value of the rail voltage occurring on the line determined by the line characteristic properties. This value needs to be kept within certain limits for the continuity of the operation. The data created regarding one-way and two-way supply conditions were examined for simulation.

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Akcay MT, Kocaarslan I, Bal E. Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods. In Engin SN, Arisoy DO, Oz MA, editors, 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8751783. (2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018). doi: 10.1109/CEIT.2018.8751783

Determination of rail voltage depending on operational datas in a 1500 v DC subway line with artificial intelligence methods

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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