Keywords: diagnostic methods, technical condition, induction motor, probability of damage


The decisive condition for the introduction of efficient maintenance and repair of electric transport, management of its technical condition is the application of methods and means of diagnostics of rolling stock of electric transport. This allows you to move from scheduled maintenance and repair periodically (regardless of condition) to scheduled control and maintenance, repair as needed depending on the state of rolling stock [1,2].

Such a strategy dramatically reduces the number of repairs, reduces the cost of spare parts, increases the actual overhaul. Therefore, there is a need for theoretical substantiation of perspective directions of development of methods and means of technical diagnostics of electric transport.

Domestic and foreign experience shows that the introduction of promising means of diagnosis is one of the most important factors in detecting and preventing failures and damages of electrical equipment and automated electric drive systems in the general industry and in transport. This allows to maintain operational performance within the established limits and to predict the condition of equipment and elements for the full use of the resource. The combination of methods of diagnosis helps to increase the economic efficiency of the use of electrical equipment in vehicles, industrial and repair companies.

At present, induction motors are the main consumers of electricity in Ukraine, which are widely used in electric drive systems of industry, transport, everyday life and more. But during their operation there is a large number of failures due to emergency situations, which annually account for 20-25% or more of the total number of installed motors.

The failure of the AD does great damage to the objects where they can be used. This situation generally results in damage due to downtime of the process equipment or damage to the product due to an engine failure.

Thus, the task of reducing the level of direct and indirect costs in the operation of induction motors, improving the quality of their diagnostics, as well as improving their reliability are relevant at this time in any industry.

Author Biographies

V. Shavkun, O.M. Beketov National University of Urban Economy in Kharkiv

Ph.D., Associate Professor

V. Linkov, O.M. Beketov National University of Urban Economy in Kharkiv

Ph.D., Associate Professor


Shavkun, V. M., Bushma, V. M. (2011). Metodi monіtoringu parametrіv tjagovih elektrichnih dvigunіv v procesі ekspluatacії ruhomogo skladu mіs'kogo elektrotransportu. Komunal'ne gospodarstvo. Tehnіchnі nauki і arhіtektura, 97, 272-278.

Jacun, M. A., Jacun, A. M. (2010). Ekspluatacіja ta dіagnostuvannja elektrichnih mashin і aparatіv. L'vіv.: «l'vіvs'ka polіtehnіka», 228.

Shavkun, V. M. (2011). Vpliv perіodichnostі dіagnostuvannja na pokazniki nadіjnostі tjagovih elektrodvigunіv ruhomogo skladu elektrotransportu. Komunal'ne gospodarstvo mіst: nauk.-tehn. Zb. HNAMG: tehnіchnі nauki і arhіtektura, 101, 265-269.

Shavkun, V. M. (2010). Do pitannja pіdvishhennja nadіjnostі tjagovih elektrichnih dvigunіv ta resursozberezhennja na ruhomomu skladі mіs'kogo elektrichnogo transportu. Komunal'ne gospodarstvo mіst, serіja: tehnіchnі nauki і arhіtektura. HNAMG, 97, 272-278.

Pavlenko, T., Shavkun, V., Petrenko, А. (2017) Ways to improve operation reliability of traction electric motors of the rolling stock of electric transport. Eastern-European Journal of Enterpraise Technologies, 5, 8(89), 22–30.

doi: 10.15587/1729-4061.2017.112109.

Castaldi, P., Tilli, A. Parameters estimation of indyction motor at standstill with magnetic flux monitoring. Accepted for the publication on IEEE Transaction on Contrl System Technology : to appear.

Peresada, S., Montanari, M., Till, A., Bolotnikov, A. (2007). A speed-sensorless indirect field-oriented control for induction motor : theoreticfl result and experimental evaluation, 60–65.

Douglas, H., Pillay, P. Ziarani, A. (2003). Detection of broken rotor bars in induction motors using wavelet analysis. IEEE transactions on industrial electronics, 3, 452– 460.

Stefan, J., Bodson, M. (1994). Real-time estimation of the parameters and fluxes of induction motors. IEEE Transactions on Industrial Applications, 3, 746–759.

Kolcio, K., Fesq, L. (2016) Model-based off-nominal state isolation and detection system for autonomous fault management. IEEE Aerospace Conference Proceedings. 2016-June. DOI: 10.1109/AERO.2016.7500793.

Krobot, Z., Turo, T., Neumann, V. (2017) Using vehicle data in virtual model for maintenance system support. ІCMT 2017–6th International Conference on Military Technologies, 171–174. DOI: 10.1109/MILTECHS.2017.7988750.

How to Cite
ShavkunV., & LinkovV. (2019). ANALYSIS OF MODERN METHODS OF DIAGNOSTICS OF THE TECHNICAL CONDITION OF ASYNCHRONOUS ENGINES. Municipal Economy of Cities, 5(151), 8-12. Retrieved from