COMBINATORY APPROACH TO FAILURE FINDING IN PASSENGER CAR ELECTRICAL EQUIPMENT SYSTEM

Authors

DOI:

https://doi.org/10.32703/2617-9040-2021-38-182-17

Keywords:

cars, electrical equipment, failure, technical condition control, optimization, tests, combinatorial approach.

Abstract

Maintaining a high level of maintenance of electrical equipment in passenger cars requires research in the field of improving methods and means of technical diagnostics. Electronic devices for automatic control and protection, which are located in the switchboard of the car, are one of the most critical elements in the electrical equipment system, ensuring its reliable, efficient and safe operation. If the automatic adjustment and protection devices are out of regulation during operation, the voltage and current in the electrical equipment network may exceed the permissible level, which leads to the failure of electricity consumers, a battery and a generator. In addition, the semiconductor devices themselves are very sensitive to short-term overloads, in which, even with minor overloads, a breakdown or breakage of the conductive layer occurs. Modern trends in the development of passenger car fleet indicate a sharp increase in the complexity of the element base of cars. This mainly concerns the electrical systems of cars, where all the functions of control, monitoring and diagnostics are performed by electronics. Maintaining a high level of service for such systems requires research in the field of improving methods and means of technical diagnostics. For these purposes, the authors have developed a method for constructing optimal control and diagnostic tests, which is based on a combinatorial approach. The method is easily implemented on a computer.

References

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Bondarenko V. V., Skurikhin D. I., Vizniak R.I., Ravlyuk V. H., Skurikhin V. I. (2019) Experimental study of the method and device for wheel-sets acoustic monitoring of railway cars in motion. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 4, 30-36. (DOI: 10.29202/nvngu/2019-4/7)

Wang, H., Li, H., Li, Y., & Duan, Y. (2020). Railway wagon wheelset fault diagnosis method based on DBN. Paper presented at the 2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020, doi:10.1109/PHMShanghai49105.2020.9280980

Aimar, M., & Somà, A. (2018). Study and results of an onboard brake monitoring system for freight wagons. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 232(5), 1277-1294. doi:10.1177/0954409717720348

Lipsett, M. G., Ying, C., & Hendry, M. T. (2016). Condition monitoring of rail car air brake systems using ultrasound. Paper presented at the Advances in Technology to Support End User Mission - Proceedings of the 2016 Joint Conference/Symposium of the Society for Machinery Failure Prevention Technology and the International Society of Automation, Retrieved from www.scopus.com

Kojima, T., & Sugahara, Y. (2013). Fault detection of vertical dampers of railway vehicle based on phase difference of vibrations. Quarterly Report of RTRI (Railway Technical Research Institute), 54(3), 139-144. doi:10.2219/rtriqr.54.139

De Martin, A., Dellacasa, A., Jacazio, G., & Sorli, M. (2017). Integrated health monitoring for the actuation system of high-speed tilting trains. International Journal of Prognostics and Health Management, 8(Special Issue 7) Retrieved from www.scopus.com

Lazarescu, M. T., & Poolad, P. (2021). Asynchronous resilient wireless sensor network for train integrity monitoring. IEEE Internet of Things Journal, 8(5), 3939-3954. doi:10.1109/JIOT.2020.3026243

Catelani, M., Ciani, L., Guidi, G., & Galar, D. (2020). A practical solution for HVAC life estimation using failure models. Paper presented at the 17th IMEKO TC 10 and EUROLAB Virtual Conference "Global Trends in Testing, Diagnostics and Inspection for 2030", 85-91. Retrieved from www.scopus.com

Zvolenský, P., Leštinský, L., Dungel, J., & Grencík, J. (2021). Evaluation of acoustic parameters of air conditioning of railway passenger cars. Paper presented at the Transportation Research Procedia, , 55 673-677. doi:10.1016/j.trpro.2021.07.034 Retrieved from www.scopus.com

Bondarenko V., Skurikhin D., Wojciechowski J. (2019) The Application of Lithium-Ion Batteries for Power Supply of Railway Passenger Cars and Key Approaches for System Development // In: Sierpiński G. (eds) Smart and Green Solutions for Transport Systems. TSTP 2019. Advances in Intelligent Systems and Computing, vol 1091, pp 114-125 Springer, Cham. (DOI:10.1007/978-3-030-35543-2_10)

Kovalev, S. M., Tarassov, V. B., Dolgiy, A. I., Dolgiy, I. D., Koroleva, M. N., & Khatlamadzhiyan, A. E. (2018). Towards intelligent measurement in railcar on-line monitoring: From measurement ontologies to hybrid information

granulation system doi:10.1007/978-3-319-68321-8_18 Retrieved from www.scopus.com

Daniyan, I. A., Mpofu, K., & Adeodu, A. O. (2020). Development of a diagnostic and prognostic tool for predictive maintenance in the railcar industry. Paper presented at the Procedia CIRP, , 90 109-114. doi:10.1016/j.procir.2020.02.001 Retrieved from www.scopus.com

Bannikov, D. A., & Sirina, N. F. (2020). Service maintenance and repair of passenger cars in the concept of digital enterprise. Paper presented at the IOP Conference Series: Materials Science and Engineering, , 918(1) doi:10.1088/1757-

X/918/1/012168 Retrieved from www.scopus.com

Makarenko V. N., Bondar S. I., Hambaryan H. R., Bandura I. M. (2004) Poezdnaya avtomatyzyrovannaya ynformatsyonno-dyahnostycheskaya systema "Vyd" [Train informational and diagnostic system VYD]. Zaliznychnyy transport Ukrayiny [Railway transport of Ukraine] 6, 51-54. 17. Bondarenko V.V. (2002) Udoskonalennya tekhnolohiyi tekhnichnoho obsluhovuvannya ta diahnostuvannya elektroobladnannya pasazhyrsʹkykh vahoniv [Improvement of maintenance and diagnostics technology for passenger car electrical equipment] PhD thesis. Kharkiv: UkrSURT [in Ukrainian]

Published

2021-12-17

How to Cite

COMBINATORY APPROACH TO FAILURE FINDING IN PASSENGER CAR ELECTRICAL EQUIPMENT SYSTEM. (2021). Transport Systems and Technologies, 38, 185-193. https://doi.org/10.32703/2617-9040-2021-38-182-17

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