Abstract
External factors, uncertainty and risk force the organization to seek for new management methods and concepts to guarantee its further development and strengthen its competitiveness. The paper suggests theoretical aspects of the system for monitoring and diagnosing electric motors, and describes the structure of technical diagnostics. The need for diagnostics and its application is substantiated; the principles of process control and the organization of control points are given. The cause-and-effect analysis reveals the causes that provoke risk factors. The paper provides a detailed discussion of the causes related to the equipment operation (downtime and depreciation of equipment, malfunction of measuring instruments and signal converters), to the diagnostic procedure (errors in measurement sequence, violation of technology, low accuracy of state recognition, insufficient initial data, incorrect choice of analysis method, low efficiency of information processing), and to human resources (qualification of personnel, involvement in other operations, time limits of operation performance, insufficient professional experience, lack of focus at work). Risk aftereffects are systematized using a decision tree. Recommendations are proposed to eliminate risks, which entail serious problems, such as engine breakdown or premature withdrawal from operation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chen, S., Lipo, T.A.: Bearing currents and shaft voltages of an induction motor under hard- and soft-switching inverter excitation. IEEE Trans. Ind. Appl. 34(5), 1042–1048 (1998)
Faiz, J., Nejadi-Koti, H.: Eccentricity fault diagnosis indices for permanent magnet machines. State-of-the-art. IET Electr. Power Appl. 13, 1241–1254 (2019)
Artigao, E., Honrubia-Escribano, A., Gómez-Lázaro, E.: In-service wind turbine DFIG diagnosis using current signature analysis. IEEE Trans. Industr. Electron. 67, 2262–2271 (2020)
Antonino-Daviu, J.A., Quijano-Lopez, A., Rubbiolo, M., Climente-Alarcon, V.: Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities. IEEE Trans. Ind. Appl. 54, 3934–3942 (2018)
Choi S., Haque M.S., Tarek M.T.B., Mulpuri V., Duan Y., Das, S., Garg, V., Mirafzal B.: Fault diagnosis techniques for permanent magnet ac machine and drives. A review of current state of the art. IEEE Trans. Transp. Electrif. 4, 444–463 (2018)
Henao, H., Capolino, G.A., Fernandez-Cabanas, M., Filippetti, F., Bruzzese, C., Strangas, E., Pusca, R., Hedayati-Kia, S.: Trends in fault diagnosis for electrical machines. A review of diagnostic techniques. IEEE Trans. Ind. Electron. 8, 31–42 (2014)
Faiz, J., Ojaghi, M.: Different indexes for eccentricity faults diagnosis in three-phase squirrel-cage induction motors. Mechatronics 19, 2–13 (2009)
Salah, A.A., Dorrell, D.G., Guo, Y.A.: Review of the monitoring and damping unbalanced magnetic pull in induction machines due to rotor eccentricity. IEEE Trans. Ind. Appl. 55, 2569–2580 (2019)
Aggarwal, A., Strangas, E.G.: Review of detection methods of static eccentricity for interior permanent magnet synchronous machine. Energies 12, 4105 (2019)
Obuhov, S., Plotnikov, I., Surkov, M., Sumarokova, L., Savkin, K.: Development of the structural and functional design of the laboratory bench for experimental research diesel generator sets on variable speed. MATEC Web Conf. 91, 01036 (2017). https://doi.org/10.1051/matecconf/20179101036
Intensity indices industrial production. https://www.hse.ru/pubs/share/direct/document/526679207.pdf
Vasendina E, Plotnikova I, Red'ko L, Zyablova N.: Study of types of defects in wood chipboard production. IOP Conf. Ser. Mater. Sci. Eng. 81. 012070 (2015). https://doi.org/10.1088/1757-899X/81/1/012070
State standard 20911–89 “Technical diagnostics. Terms and definitions”
Melik-Shakhnazarov, V.A., Strelov, V.I., Sofiyanchuk, D.V., Bezbakh, I.Z.: New design of active vibroprotection devices. Techn. Phys. Lett. 38(3), 283 (2012). https://doi.org/10.1134/S1063785012030303
William, T.T., Fenger, M.: Current signature analysis to detect induction motor faults. IEEE Ind. Appl. Mag. 7, 23–29 (2000)
Acknowledgements
This research was supported by TPU development program.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Plotnikova, I., Sheveleva, E., Narimanov, R. (2023). Application of the System for Electrical Equipment Diagnostics and Its Analysis. In: Lysenko, E., Rogachev, A., Starý, O. (eds) Recent Developments in the Field of Non-Destructive Testing, Safety and Materials Science. ICMTNT 2021. Studies in Systems, Decision and Control, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99060-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-99060-2_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-99059-6
Online ISBN: 978-3-030-99060-2
eBook Packages: EngineeringEngineering (R0)