Improving the Methodology of Placing Peripheral Devices for Monitoring the Technical Condition of Rolling Stock
DOI:
https://doi.org/10.15802/stp2021/230220Keywords:
rolling stock, axle boxes, temperature control, method of placing, unit diagnosticsAbstract
Purpose. Based on the research work of units and parts of rolling stock undercarriage in transient modes of emergency situations it is proposed to optimize the sequential placing of peripheral contactless devices for technical control of locomotives and cars on railway lines. Methodology. Investigation of transient processes of temperature increase of faulty axle bearings of locomotives and cars during remote technical diagnosing allows one to organize theory and hardware construction of the peripheral systems for testing the rolling stock on the move. Automatic control of the technical state of the rolling stock on the move – the last and in some cases the only possible process step, which allows revealing unacceptable defects in rolling units and thereby prevent emergencies in railway transport. Findings. Based on the research it was proposed a solution to the optimization problem of placing peripheral control devices of rolling stock when moving according to the criteria of the linear and exponential nature of heating defective axle boxes of wheelsets and other units of undercarriage. The risks of train stop on the railway line because of the erroneous classification of normally heated axle boxes as overheated, as well as the consequences of classification of overheated axle box as normally heated axle boxes were evaluated. Originality. Optimization model of placing peripheral control devices based on probabilistic criteria for evaluating the degree of permissible risk that, at a minimum, should not be exceeded during the transition to control technical means. A functional block diagram of test hardware diagnostics for the wheelsets when determining the gradations of digital indicators of defects was proposed. Practical value. The value of the results obtained lies in the improvement of a method of placing technical control peripheral devices and diagnosing rolling stock when determining the distance between the control stations in the same direction and organizing tracking modes for railcars with developing defects. From a technical point, reduced error probability is directly related to traffic safety and diagnostic algorithms.
References
Baranov, L. A. (1990). Kvantovanie po urovnyu i vremennaya diskretizatsiya v tsifrovykh sistemakh upravleniya. Moscow: Energoatomizdat. (in Russian)
Boynik, A. V., Zagariy, G. I., Koshevoy, S. V., Lukhanin, N. I., Poeta, N. V., & Poddubnyak, V. I. (2008). Diagnostirovanie ustroystv zheleznodorozhnoy avtomatiki i agregatov podvizhnykh edinits. Kharkov: ChP Izdatelstvo «Novoe slovo». (in Russian)
Burchenkov, V. V. (2020). Tendentsii razvitiya nauki i obrazovaniyavtomatizatsiya tekhnicheskogo kontrolya i diagnostiki podvizhnogo sostava zheleznykh dorog: monografiya. Gomel: BelGUT. (in Russian)
Burchenkov, V. V., & Kholodilov, O. V. (2017). Technicals diagnostic state of rolling stock and perspectives her development in Western Europe and the USA. Vestnik BelGUTa: Nauka i transport, 1(34), 5-9. (in Russian)
Gartner, Ye. (2007). Zheleznye dorogi SShA: osobennosti gruzovykh i passazhirskikh perevozok. Zheleznye dorogi mira, 4, 9-32. (in Russian)
Gondorov, V. A. (2017). Sovremennye sredstva diagnostiki podvizhnogo sostava na khodu poezda. Vagony i vagonnoe khozyaystvo, 4, 36-37. (in Russian)
Ivanova, T. V., & Nalabordin, D. G. (2017). Otsenka predotkaznykh sostoyaniy buksovogo uzla gruzovogo vagona. Vagony i vagonnoe khozyaystvo, 1(49), 46-47. (in Russian)
Mironov, A. A. (2009). Perspektivnye napravleniya sovershenstvovaniya sredstv kontrolya KTSM-02 i ASK PS. Automation, communication and Informatisc, 1, 38-41. (in Russian)
Mishin, I. M. (2018). Tekhnicheskoe obsluzhivanie i remont vagonov za rubezhom. Vagony i vagonnoe khozyaystvo, 1, 44-45. (in Russian)
Nagovitsyn, V. S. (2004). Sistemy diagnostiki zheleznodorozhnogo podvizhnogo sostava na osnove informatsionnykh tekhnologiy. Mosсow: VINITI RAN. (in Russian)
Petukhov, V. M. (2015). Structure development of diagnostic providing and diagnostic model of axle boxes in modern railroad cars. Technology Audit and Production Reserves, 5(3(25)), 26-29. DOI: https://doi.org/10.15587/2312-8372.2015.51923 (in Russian)
Redecker, R. (2012). Udalennyy monitoring tekhnicheskikh sredstv zheleznykh dorog. Railways of the World, 10, 66-68. (in Russian)
Rukovodyashchiy dokument po remontu i tekhnicheskomu obsluzhivaniyu kolesnykh par s buksovymi uzlami gruzovykh vagonov magistralnykh zheleznykh dorog kolei 1520 (1524) mm. (2017). Mosсow: JSC VNIIZhT. (in Russian)
Trestman, Ye. Ye., Lozinskiy, S. N., & Obraztsov, V. L. (1983). Avtomatizatsiya kontrolya buksovykh uzlov v poezdakh. Moscow: Transport. (in Russian)
Shobel, A. (2014). Napolnye sistemy monitoringa podvizhnogo sostava. Railways of the world, 3, 51-59. (in Russian)
Burchenkov, V. V. (2020). Decision making based on the results of automatic diagnostics of parts and assemblies of rolling stock. World of Transport and Transportation, 17(4), 232-243. DOI: https://doi.org/10.30932/1992-3252-2019-17-4-232-243 (in Russian and English)
Garipa, G., Ustoglu, I., Mumcu, T. V., & Kaymakci, O. T. (2014). Hot box detection system design for railway vehicle safety. 5th International Conference on Design nd Product Development (pp. 31-36). (in English)
Malavasi, G. (2014). Contact forces and running stability of railway vehicles. International Journal of Railway Technology, 3(1), 121-132. DOI: https://doi.org/10.4203/ijrt.3.1.6 (in English)
Manashkin, L. A., & Myamlin S. V. (2013). To the question of modeling of wheels and rails wear processes. Science and Transport Progress, 3(45), 119-124. DOI: https://doi.org/10.15802/stp2013/14791 (in English)
Tarawneh C., Hemandez, V. V., Aranda, J. A., & Ramiez, C. J. (2018). An analysis of the efficacy of Waydide Hot-Box detector data. Joint Rail Conference (pp. 1-8). DOI: https://doi.org/10.1115/JRC2018-6218 (in English)
Toullier, T., Dumoulin, J., & Mevel, L. (2019). Study of complementary multi-sensors data influence on infrared thermography measurements for in-situ long-term monitoring. Multimodal Sensing: Technologies and Applications, 1-10. DOI: https://doi.org/10.1117/12.2526229 (in English)
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