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Prognosis of insulation deterioration in induction motors winding subject to voltage fluctuations

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Warianty tytułu
PL
Prognozy pogorszenia się izolacji uzwojeń silników indukcyjnych pod wpływem wahań napięcia
Języki publikacji
EN
Abstrakty
EN
One of the problems with induction motors, say the experts, is voltage. Insulation deterioration is brought on by the winding overheating because the issue is frequently one that is defective, old, or damaged as a result of voltage surge, voltage drop, or overheating. In this study, we follow the stator winding insulation of an AC machine using leakage current insulation measures. Then the insulation life of the induction motor was determined under different loading scenarios, such as voltage fluctuations and varied modulation frequencies.
PL
Eksperci twierdzą, że jednym z problemów związanych z silnikami indukcyjnymi jest napięcie. Pogorszenie stanu izolacji jest spowodowane przegrzaniem uzwojenia, ponieważ często problemem jest wadliwe, stare lub uszkodzone w wyniku skoku napięcia, spadku napięcia lub przegrzania. W tym badaniu śledzimy izolację uzwojenia stojana maszyny prądu przemiennego za pomocą środków izolacji prądu upływu. Następnie określono żywotność izolacji silnika indukcyjnego w różnych scenariuszach obciążenia, takich jak wahania napięcia i różne częstotliwości modulacji.
Rocznik
Strony
58--62
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
  • L2EI Laboratory, University Mohammed Seddik Benyahia, Ouled Aissa. Bp 98, Jijel, 18000, Algeria
autor
  • L2EI Laboratory, University Mohammed Seddik Benyahia, Ouled Aissa. Bp 98, Jijel, 18000, Algeria
autor
  • Nuclear research center, Birine, Ain Oussera. Bp 180, Djelfa, 17200 Algeria
Bibliografia
  • [1] Pillay P., Hofmann P., and Manyage M., (2002). Derating of induction motors operating with a combination of unbalanced voltages and over or undervoltages. IEEE Transactions on Energy Conversion, 17(4), 485-491
  • [2] Kersting W.H., and Phillips W.H., (1997). Phase frame analysis of the effects of voltage unbalance on induction machines. IEEE Transactions on Industry Applications, 33(2), 415-420
  • [3] Wang Y.J., (2001). Analysis of effects of three-phase voltage unbalance on induction motors with emphasis on the angle of the complex voltage unbalance factor. IEEE Transactions on energy conversion, 16(3), 270-275
  • [4] Faiz J., Ebrahimpour H., and Pillay P., (2004). Influence of unbalanced voltage on the steady-state performance of a three-phase squirrel-cage induction motor. IEEE transactions on energy conversion, 19(4), 657-662
  • [5] Gnaciński P., Hallmann D., Pepliński M., and Jankowski P., (2019). The effects of voltage subharmonics on cage induction machine. International Journal of Electrical Power & Energy Systems, 111, 125-131
  • [6] Gnacinski P., (2008). Windings temperature and loss of life of an induction machine under voltage unbalance combined with over-or undervoltages. IEEE Transactions on Energy Conversion, 23(2), 363-371
  • [7] Gnacinski, (2009). Derating of an induction machine under voltage unbalance combined with over or undervoltages. Energy Conversion and Management, 50(4), 1101-1107
  • [8] L. Tsyokhla, A. Griffo, J. Wang, ‘On-Line Condition Monitoring for Diagnosis and Prognosis of Insulation Degradation of Inverter-fed Machines’, IEEE Transactions on Industrial Electronics .2018,pp.1-10
  • [9] Rusu-Zagar C., Notingher P., Navrapescu V., Mares G., Rusu-Zagar G., Setnescu T., Setnescu R., G‘Method for Estimating the Lifetime of Electric Motors Insulation’ ,IEEE. Electrical Engineering ,2013,pp.1-6
  • [10] Lei D., Chen L., and Tang J., (2021). Mining of Weak Fault Information Adaptively Based on DNN Inversion Estimation for Fault Diagnosis of Rotating Machinery. IEEE Access, 10, 6147- 6164
  • [11] Nirwan N.W., and Ramani H.B., (2022). Condition monitoring and fault detection in roller bearing used in rolling mill by acoustic emission and vibration analysis. Materials Today: Proceedings, 51, 344-354
  • [12] Kudelina K., Baraškova T., Shirokova V., Vaimann T., and Rassõlkin A., (2022). Fault detecting accuracy of mechanical damages in rolling bearings. Machines, 10(2), 86
  • [13] Bazurto A.J., Quispe E.C., and Mendoza R.C., (2016, October). Causes and failures classification of industrial electric motor. In 2016 IEEE ANDESCON (pp. 1-4). IEEE
  • [14] M. Riera-Guasp, J.A. Antonino-Daviu, and G.A. Capolino, (2014). Advances in electrical machine, power electronic, and drive condition monitoring and fault detection: State of the art. IEEE Transactions on Industrial Electronics, 62(3), 1746-1759
  • [15] Godoy W. F., da Silva I. N., Goedtel A., Palácios R. H. C., & Gongora W. S. (2014, July). Neural approach for bearing fault classification in induction motors by using motor current and voltage. In 2014 International joint conference on neural networks (IJCNN) (pp. 2087-2092). IEEE
  • [16] Sumereder C., ‘Statistical Lifetime of Hydro Generators and Failure Analysis’, IEEE. Transactions on Dielectrics and Electrical Insulation., june 2008,15(3),pp.678-685
  • [17] Nussbaumer P., Vogelsberger M.A., Wolbank T.M., ’ Induction Machine Insulation Health State Monitoring Based on Online Switching Transient Exploitation’, IEEE. TRANSACTIONS ON INDUSTRIAL ELECTRONICS.,2014 , pp.1-10
  • [18] Singh G. K., and Ahmed S. A. K. S. A. (2004). Vibration signal analysis using wavelet transform for isolation and identification of electrical faults in induction machine. Electric Power Systems Research, 68(2), 119-136.
  • [19] Mayoux C., ’Degradation of Insulating Materials under Electrical Stress’ , IEEE .Transactions on Dielectrics and Electrical Insulation., October 2000, 7,( 5),pp. 590-601
  • [20] A. Elschich, ’Thermo-mechanical Fatigue of Electrical Insulation System in Electrical machines’., PhD thesis 2017
  • [21] Sumislawska M., Gyftakis K.N., Kavanagh D.F., McCulloch M., Burnham K.J., Howey D.A., ‘The Impact of Thermal Degradation on Electrical Machine Winding Insulation’, int.conf. September 2015
  • [22] Jensen W.R., Strangas E.G., Foster SH.N., ‘A Method for Online Stator Insulation Prognosis for Inverter-Driven Machines’, IEEE. Transactions on Industry Applications,2018,pp.1-9
  • [23] Jensen W.R., Strangas E.G., Foster SH.N., ‘Online Estimation of Remaining Useful Life of Stator Insulation’,IEEE .Electrical and Computer Engineering.2017,pp. 635-641
  • [24] Jensen W.R., Strangas E.G., Foster SH.N., ‘A More Robust Stator Insulation Failure Prognosis for Inverter-Driven Machines’,IEEE .Electrical and Computer Engineering,2019,pp.203-209
  • [25] Guedes A.S., Silva S.M., ’ Insulation failures prognosis in electric machines: preventive detection and time to failure forecast’, IET Electric Power Applications. Engineering and Technology ,2020 , 14, ( 6), pp. 1108-1117
  • [26] Tsyokhla I., Griffo A., Wang J., ‘On-Line Condition Monitoring for Diagnosis and Prognosis of Insulation Degradation of Inverter-fed Machines’, IEEE Transactions on Industrial Electronics .2018,pp.1-10
  • [27] Lee S.B., Yang J., Younsi K., Bharadwaj R.M., ‘An Online Groundwall and Phase-to-Phase Insulation Quality Assessment Technique for AC-Machine Stator Windings’IEEE Transactions on Industry Applications, 42, ( 4), JULY/AUGUST 2006,pp.946- 957
  • [28] Fernando M.A.R.M., Naranpanawa W.M.L.B., Rathnayake R.M.H.M., Jayantha G.A., ’ Condition Assessment of Stator Insulation during Drying, Wetting and Electrical Ageing ’, IEEE ,Transactions on Dielectrics and Electrical Insulation, December 2013,20, ( 6),pp. 2081- 2090
  • [29] Babel A.S., Strangas E.G., ‘Condition-Based Monitoring and Prognostic Health Management of Electric Machine Stator Winding Insulation’, Department of Electrical and Computer Engineering, 2014,pp.1-7
  • [30] Zhao K., Cheng L., Zhang C., Nie D., and Cai W., (2017), Induction Motors Lifetime Expectancy Analysis Subject to Regular Voltage Fluctuations. IEEE Electrical Power and Energy Conference (EPEC), pp.1-7
  • [31] Ayoade M.A., Afolal O.F., Sanusi M.A., and Adebayo M.A., (2018).Determining the Effect of Voltage Variation on Lifetime Expectancy of Induction Motor Using Arrhenius Equation, International Journal of Science, Engineering & Environmental Technology (IJOSEET), 3(8), pp.55-62
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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c42c04ae-f632-47e7-8c1b-75c306f1b81d
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