Open Access
Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
|
|
---|---|---|
Article Number | 01048 | |
Number of page(s) | 7 | |
Section | Sustainable Mobility and Logistics | |
DOI | https://doi.org/10.1051/e3sconf/202236301048 | |
Published online | 14 December 2022 |
- IRS 60913 Railway Application – Fixed Installations – Electric traction overhead contact lines. (2013). [Google Scholar]
- IRS 70019 Railway Application – Fixed Installations – Overhead Contact Lines interoperability assessment. (2016). [Google Scholar]
- A. Smerdin, E.A. Butenko, S.A. Stupakov, G. Ermachkov, Transverse horizontal vibrations of contact network wires for monitoring their tension during operation. E3S Web of Conferences 217, 03002 (2020). doi:10.1051/e3sconf/202021703002. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- A. Golubkov, G. Ermachkov, A. Smerdin, O. Sidorov, V. Philippov, Increasing the forecasting fidelity of current collection system operating capability by means of contact pressure simulation modelling. E3S Web of Conferences 217, 03003. (2020) doi: 10.1051/e3sconf/202021703003. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- A. Rønnquist, P. Nåvik, Wireless monitoring of the dynamic behavior of railway catenary systems. Conference Proceedings of the Society for Experimental Mechanics Series 7, pp.129–139. (2016) doi:10.1007/978-3-319-29956-3_15. [CrossRef] [Google Scholar]
- P. Nåvik, A. Rønnquist, S. Stichel, A wireless railway catenary structural monitoring system: Full-scale case study. Case Studies in Structural Engineering 6, pp.22–30. (2016) doi: 10.1016/j.csse.2016.05.003. [CrossRef] [Google Scholar]
- J. Bechmann, A. Dölling, G. Hahn, H.-J. Schwab, T. Wolpensinger. Contact line monitoring system. Eb – Elektrische Bahnen 106(8–9), pp.400–407. (2008) doi: 10.1016/j.csse.2016.05.003. [Google Scholar]
- X. Huang, Q. Sun, X. Han, An on-line monitoring method of temperature of conductors and fittings based on GSM SMS and Zigbee. In: 3rd IEEE conference on industrial electronics and applications, pp.1522–1527. (2008) doi:10.1109/ICIEA.2008.4582773. [Google Scholar]
- F. Duan, Z. Liu, D. Zhai, A. Rønnquist, A siamese network-based non-contact measurement method for railway catenary uplift trained in a free vibration test. Sensors (Switzerland) 20(14)3984, pp.1–17. (2020) doi: 10.3390/s20143984. [Google Scholar]
- N. Theune, N. Theune, T. Bosselmann, J. Kaiser, M. Willsch, H. Hertsch, R. Puschmann, Online temperature monitoring of overhead contact line at the new German high-speed rail line Cologne-Rhine/Main. WIT Transactions on State of the Art in Science and Engineering. Vol. 39. (2010) doi:10.2495/978-1-84564-498-7/09. [Google Scholar]
- A. Galkin, A. Buynosov, A. Paranin, A. Batrashov, Improving of the Electrothermal Characteristics of the Contact Line. Advances in Intelligent Systems and Computing, 1115 AISC, pp.195–205, (2020) doi: 10.1007/978-3-030-37916-2_21 [Google Scholar]
- H. Guo, Y. Li, J. Shang, M. Gu, Y. Huang, B. Gong, Learning from class-imbalanced data. Review of methods and applications,= Expert Syst. Appl., 73, pp.220–239, (2017) doi: 10.1016/j.eswa.2016.12.035. [Google Scholar]
- N.M. Guerrero, J. Aparicio, D. Valero-Carreras, Combining Data Envelopment Analysis and Machine Learning. Mathematics 10(6), P. 909. (2022) doi: 10.3390/math10060909. [CrossRef] [Google Scholar]
- B. Xiong, L. Jiang, L. Yang, X. Pan, Design and performance testing of production performance determination system for boar. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 33(9), pp.174–179. (2017) doi: 10.1109/ECIE52353.2021.00017. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.