Influence of misalignment of connection of electrical machine shafts on the nature of electric power of the induction motor
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- Details
- Parent Category: 2022
- Category: Content №6 2022
- Created on 25 December 2022
- Last Updated on 25 December 2022
- Published on 30 November -0001
- Written by O. Bialobrzheskyi, V. Nozhenko, O. Todorov
- Hits: 2396
Authors:
O.Bialobrzheskyi*, orcid.org/0000-0003-1669-4580, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V.Nozhenko, orcid.org/0000-0003-0126-6970, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O.Todorov, orcid.org/0000-0001-5703-6790, Kremenchuk Mykhailo Ostrohradskyi National University, Kremenchuk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2022, (6): 090 - 096
https://doi.org/10.33271/nvngu/2022-6/090
Abstract:
Purpose. To identify the vibration power components caused by misalignment of electrical machine shafts in the instantaneous power of the induction motor.
Methodology. The power components of the induction motor are analytically determined taking into account the power caused by torque vibrations on the shaft. Based on this, using the methods of mathematical modelling in the visual programming environment, the known model of a three-phase induction motor with a short-circuited rotor has been made. In addition, elements and connections are introduced which realize the formation of the moment caused by the imbalance of rotating masses. Using Fourier transform of the electric power of the induction motor, we determine its discrete spectrum. Experimental research is conducted on the electric power of the induction motor with a short-circuited rotor, in similar model conditions, on laboratory equipment. With the use of a virtual device synthesized in the LabVIEW package, the wavelet analysis of stator electric power of the motor of laboratory electrotechnical complex is performed.
Findings. Differential equations of the induction motor with a short-circuited rotor in abc coordinate system are obtained, which reflect the distribution of instantaneous power in the machine taking into account the vibration moment. As a result of modelling according to the specified equations of the induction machine, in the conditions of full symmetry of parameters of the scheme and the mode with eccentricity of rotating masses, low-frequency vibrations of electric power of a stator with frequency of 25 Hz have been found. Similar results were obtained as a result of wavelet analysis of the electric power of an induction motor of a laboratory electrotechnical complex.
Originality. Rationality of use of instantaneous electrical power of induction motor stator for detection of vibration caused by misalignment between its shaft and the shaft of another machine has been substantiated, which allows detecting vibration without complex methods of measuring vibration displacement and its derivatives.
Practical value. Detecting vibration by measuring the electrical parameters of the stator circuit of the induction motor and determining the vibrations of its instantaneous power without the use of specialized equipment significantly simplify the procedure of vibration diagnostics at its early stages.
Keywords: induction motor, shaft misalignment, electric power, mechanical vibrations
References.
1. Shreyner, R., Yemelianov, A., & Medvedev, A. (2010). Energy saving resources in intermittent modes of operation of a frequency-controlled asynchronous electric drive. Innovative technologies in the field of energy saving: materials of the regional scientific-practical conference of students, 79-86.
2. Pugachov, A. (2015). Minimization of power losses in an electric drive with a scalar induction motor control system. Cherepovets State University Bulletin, (3), 32-37.
3. Minervini, M., Mognaschi, M.E., Di Barba, P., & Frosini, L. (2021). Convolutional neural networks for automated rolling bearing diagnostics in induction motors based on electromagnetic signals. Applied Sciences (Switzerland), 11(17), 7878. https://doi.org/10.3390/app11177878.
4. Koura, M.B., Boudinar, A.H., Aimer, A.F., & Khodja, M.-el-A. (2021). Induction Motor Bearing Faults Diagnosis Using Stator Current and Vibration Analysis. Periodica Polytechnica Electrical Engineering and Computer Science, 65(4), 344-35. https://doi.org/10.3311/PPee.17284.
5. Petrushin, V.S., & Yenoktaev, R.N. (2014). Design Range Criteria for the Development of Variable Induction Motors. Electrical Engineering &Electromechanics, 5, 33-36.
6. Aarniovuori, L., Niemel, M., Pyrhnen, J., Cao, W., & Agamloh,E.B. (2018). Loss Components and Performance of Modern Induction Motors. Proceedings of the XIII International Conference on Electrical Machines (ICEM). https://doi.org/10.1109/ICELMACH.2018.8507189.
7. Chenchevoi, V., Kuznetsov, V., Kuznetsov, V., Chencheva, O., Zachepa, I., Chornyi, O., Kovzel, M., , & Levchenko, S. (2021). Development of mathematical models of energy conversion processes in an induction motor supplied from an autonomous induction generator with parametric non-symmetry. Eastern-European Journal of Enterprise Technologies, 4(8(112)), 67-82. https://doi.org/10.15587/1729-4061.2021.239146.
8. Chumachova, ., & Kalinov, A. (2012). Compensation of the induction motor parametric asymmetry by means of the frequency-controlled electric drive. Technical Electrodynamics, (3), 87-88.
9. Zagirnyak, M., Kalinov, A., Melnikov, V., & Kochurov, I. (2015). Correction of the Operating Modes of an Induction Motor with Asymmetrical Stator Windings at Vector Control. Proceedings of the International Conference on Electrical Drives and Power Electronics (EDPE), 259-265. https://doi.org/10.1109/EDPE.2015.7325303.
10. Nozhenko, V., Bialobrzheskyi, O., & Rodkin, D. (2021). Revealing the Impact of Electromechanical Complex Mechanical Vibrations on Electrical Instantaneous Power. Proceedings of the 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), 486-489. https://doi.org/10.1109/KhPIWeek53812.2021.9570031.
11. Gavrelets, G., & Rodkin, D. (2016). Simulation of oscillatory processes in vibration isolation of the electromechanical equipment. Electromechanical and energy saving systems, 4(36), 44-52.
12. Bratash, ., & Kalinov, . (2010). Research of vibration power of induction motor. Electromechanical and energy saving systems, 4(12), 28-33.
13. Daoud, M., & Iqbal, A. (2021). Vector control of dual 3- induction machine-based flywheel energy storage system using fuzzy logic controllers. AI and Machine Learning Paradigms for Health Monitoring System, 86, 339-349. https://doi.org/10.1007/978-981-33-4412-9_20.
14. Shreyner, R., Kalygin, A., & Krivoviaz, V. (2012). AC drives based on PWM direct frequency converters: monograph. Yekaterinburg: RGPPU.
15. Zagirnyak, M., Prus, V., & Somka, O. (2019). The methods for accounting the degree of electric machines aging in the assessment of their reliability. Proceedings of the International Conference on Modern Electrical and Energy Systems (MEES), 194-197. https://doi.org/10.1109/MEES.2019.8896468.
16. Blekhman, I.I. (2013). Theory of vibration processes and devices. Vibration mechanics and vibration technology. St. Petersburg: Ore & Metals. ISBN:978-5-98191-074-6.
17. Rodkin, D., Nozhenko, V., Bohatyrov, K., & Chenchevoi, V. (2017). Electric drive operation modes of above resonance vibration machine. Proceedings of the 2017 IEEE International conference on Modern Electrical and Energy Systems (MEES), 140-143. https://doi.org/10.1109/MEES.2017.8248872.
18. Arfaoui, S., Mabrouk, A.B., & Cattani, C. (2021). Wavelet Analysis. Basic Concepts and Applications. New York: Chapman and Hall/CRC. https://doi.org/10.1201/9781003096924.
19. Todorov, O., Bialobrzheskyi, O., Reva, I., & Bezzub, M. (2021). Abruptly changing load timediagram analysis of transformer substation using wavelet transform. Proceedings of the 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek),396-400. https://doi.org/10.1109/KhPIWeek53812.2021.9570080.
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