Asynchronous motor functional state monitoring based on the relative deviations of the power losses

• Autorzy: Hussienat Lina Hani , Aldaikh Suad Omar , Qawaqzeh Mohamed , Vovk Oleksandr , Halko Serhii , Kvitka Serhii , Sabo Andrii , Ostroverkhov Mykola , Miroshnyk Oleksandr , Shchur Taras , Kiełbasa Paweł

Identyfikatory

DOI

10.15199/48.2024.07.06

Warianty tytułu

PL

Monitorowanie stanu funkcjonalnego silnika asynchronicznego na podstawie względnych odchyleń strat mocy

• Języki publikacji: EN

Abstrakty

EN

The article proposes a method for monitoring the functional state of asynchronous motors. Relative deviations of power losses in the electric motor are used as diagnostic parameters determined under the same conditions at operating intervals. Experimental testing showed its high ability to detect faults. The advantage of this research is obtaining a diagnostic method that allows to establish not only that the asynchronous motor is faulty, but also to determine in which node the malfunction occurred.

PL

W artykule zaproponowano metodę monitorowania stanu funkcjonalnego silników asynchronicznych. Jako parametry diagnostyczne wyznaczane są względne odchyłki strat mocy w silniku elektrycznym w tych samych warunkach w odstępach czasowych. Testy eksperymentalne wykazały jego wysoką zdolność do wykrywania usterek. Zaletą tych badań jest uzyskanie metody diagnostycznej, która pozwala nie tylko stwierdzić, czy silnik asynchroniczny jest uszkodzony, ale także określić, w którym węźle wystąpiła awaria.

Słowa kluczowe

EN

asynchronous motor; functional state; diagnostic parameter; power loss

PL

silnik asynchroniczny; stan funkcjonalny; parametr diagnostyczny; utrata mocy czynnej

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 7
• Strony: 26--29
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Hussienat Lina Hani

• Al-Balqa Applied University, Department of Technical Science, Al Salt 19117, Jordan

• https://orcid.org/0000-0002-8276-4906

autor

Aldaikh Suad Omar

• Al-Balqa Applied University, Department of Technical Science, Al Salt 19117, Jordan

• https://orcid.org/0000-0002-0664-892X

autor

Qawaqzeh Mohamed

• Al-Balqa Applied University, Department of Technical Science, Al Salt 19117, Jordan

• https://orcid.org/0000-0001-7027-5577

autor

Vovk Oleksandr

• Dmytro Motornyi Tavria State Agrotechnological University, 69600, Zaporizhia, Ukraine

• https://orcid.org/0000-0003-0154-6972

autor

Halko Serhii

• Dmytro Motornyi Tavria State Agrotechnological University, 69600, Zaporizhia, Ukraine

• https://orcid.org/000-0001-7991-0311

autor

Kvitka Serhii

• Dmytro Motornyi Tavria State Agrotechnological University, 69600, Zaporizhia, Ukraine

• https://orcid.org/0000-0001-9234-9274

autor

Sabo Andrii

• Dmytro Motornyi Tavria State Agrotechnological University, 69600, Zaporizhia, Ukraine

• https://orcid.org/0000-0002-7948-6933

autor

Ostroverkhov Mykola

• Department of Theoretical Electrical Engineering, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, 03056, Kyiv, Ukraine

• https://orcid.org/0000-0002-7322-8052

autor

Miroshnyk Oleksandr

• Department of Electricity Supply and Energy Management, State Biotechnological University, 61052 Kharkiv, Ukraine

• https://orcid.org/0000-0002-6144-7573

autor

Shchur Taras

• GVA Lighting, Inc, L6H6X5, Oakville, Ontario, Canada

• https://orcid.org/0000-0003-0205-032X

autor

Kiełbasa Paweł

• University of Agriculture in Krakow, Faculty of Production and Power Engineering, Balicka Av. 116B, 30-149 Krakow

• https://orcid.org/0000-0003-0249-8626

Bibliografia

• [1] Bazaluk O., Postnikova M., et al., Energy saving in electromechanical grain cleaning systems. Applied Sciences, 12(3) (2022), 1418. https://doi.org/10.3390/app12031418
• [2] Bazaluk O., Postnikova M., et al., Improving energy efficiency of grain cleaning technology. Applied Sciences, 12(10) (2022), 5190. https://doi.org/10.3390/app12105190
• [3] Maestre-Cambronel D., Rojas J. P., et al., Evaluation of Faults in the Squirrel Cage Three-Phase Induction Motors. Revista Ingenierías Universidad De Medellín, 21(40) (2022), 126-142
• [4] Vovk, O., Kvitka, S., et al., Energy-Saving Control of Asynchronous Electric Motors for Driving Working Machines. In Modern Development Paths of Agricultural Production; Springer: Cham, Switzerland, (2019), 415-423
• [5] Ferreira, F.J.T.E., Baoming, G., de Almeida А.Т. Reliability and Operation of High-Efficiency Induction Motors. IEEE Trans. Ind. Appl. 52(6) (2016), 4628-4637
• [6] Al-Quraan T. M. A., Vovk O., et al., Energy-Saving Load Control of Induction Electric Motors for Drives of Working Machines to Reduce Thermal Wear. Inventions, 7 (2022), 92. https://doi.org/10.3390/inventions7040092
• [7] Pazyi V., Miroshnyk O., et al., Analysis of technical condition diagnostics problems and monitoring of distribution electrical network modes from smart grid platform position. 2020 IEEE KhPI Week on Advanced Technology (KhPIWeek), Kharkiv, Ukraine, (2020), 57-60, 9250080. https://doi.org/10.1109/KhPIWeek51551.2020.9250080
• [8] Qawaqzeh M.Z., Szafraniec A., et al., Modelling of a household electricity supply system based on a wind power plant, Przegląd Elektrotechniczny, 96(11) https://doi.org/doi:10.15199/48.2020.11.08 (2020), 36-40.
• [9] Al_Issa H. A., Qawaqzeh M., et al., Monitoring of power transformers using thermal model and permission time of overload. International Journal of Electrical and Computer Engineering, 13 (2022), 3, http://doi.org/10.11591/ijece.v12i3.pp2323-2334 2323-2334.
• [10] Panchenko A., Voloshina A., Milaeva I., Luzan P. Operating conditions’ influence on the change of functional characteristics for mechatronic systems with orbital hydraulic motors. In: Modern Development Paths of Agricultural Production; Springer: Cham, Switzerland, (2019), 169-176
• [11] Panchenko А., Voloshina А., et al., Design of Hydraulic Mechatronic Systems with Specified Output Characteristics. In: Advances in Design, Simulation and Manufacturing IІI, LNME; Springer: Cham, Switzerland, (2020), 42–51
• [12] Glowacz A. Acoustic based fault diagnosis of three-phase induction motor, Applied Acoustics, 137 (2018), 82-89
• [13] Bouzid M., et al., Reliable stator fault detection based on the induction motor negative sequence current compensation. Electrical Power and Energy Systems, 95 (2018), 490-498
• [14] Zhukovskiy Y., Koteleva N. Diagnostics and evaluation of the residual life of an induction motor according to energy parameters. J. Phys.: Conf. Ser., 1050 (2018), 012106
• [15] Glowacz A., Glowacz Z. Diagnosis of the three-phase induction motor using thermal imaging. Physics & Technology, 81 (2017), 7-16
• [16] Asad B., Vaimann T., et al., The Cluster Computation-Based Hybrid FEM–Analytical Model of Induction Motor for Fault Diagnostics. Appl. Sci., 10 (2020), 7572
• [17] Halko S., Suprun O., Miroshnyk O. Influence of temperature on energy performance indicators of hybrid solar panels using cylindrical cogeneration photovoltaic modules. 2021 IEEE 2nd KhPI Week on Advanced Technology, KhPI Week 2021 – Conference Proceedings, (2021), 132-136. https://doi.org/10.1109/KhPIWeek53812.2021.9569975
• [18] Szafraniec A., Halko S., et al., Magnetic field parameters mathematical modelling of wind-electric heater, Przegląd Elektrotechniczny, 97(8) https://doi.org/10.15199/48.2021.08.07 (2021), 36-41.
• [19] Lezhenkin O., Halko S., et al., Investigation of the separation of combed heap of winter wheat. Journal of Physics: Conference Series, (2020), Volume 1781, 012016, International Conference on Applied Sciences (ICAS 2020), 20-22 May 2020, Hunedoara, Romania. 6596/1781/1/012016 https://doi.org/10.1088/1742
• [20] Karaiev O., Bondarenko L., et al., Mathematical modelling of the fruit-stone culture seeds calibration process using flat sieves. Acta Technologica Agriculturae, 24(3), (2021) pp. 119 123. https://doi.org/10.2478/ata-2021-0020
• [21] Benninger M., Liebschner M., Kreischer C. Fault Detection of Induction Motors with Combined Modeling- and Machine Learning-Based Framework. Energies, 16 (2023), 3429
• [22] Havrylenko Y., Kholodniak Y., et al., Representation of a Monotone Curve by a Contour with Regular Change in Curvature. Entropy, 23, https://doi.org/10.3390/e23070923 923 (2021).
• [23] Lee J.-H., Pack J.-H., et al., Fault Diagnosis of Induction Motor Using Convolutional Neural Network. Appl. Sci, 9 (2019), 2950
• [24] Pawłowski S.: Obliczanie pola elektromagnetycznego w transformatorach dużej mocy metodą całkowo-brzegową, praca doktorska, Instytut Elektrotechniki w Warszawie, 1993.
• [25] Mączka M., Pawłowski S., Plewako J.: Modeling of the textronic structure using the Iterative Fundamental Solutions Method, Advances in IT and Electrical Engineering, 30 (2024), 5-11. doi.org/10.7862/re.2023.x
• [26] Mączka M.: Metody efektywnego modelowania kwantowych przyrządów półprzewodnikowych, Politechniki Rzeszowskiej, 2018.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).