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Tytuł artykułu

A new method to diagnose rotor faults in 3-phase induction motors coupled to time-varying loads

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Nowa metoda diagnostyki uszkodzeń wirnika indukcyjnego silnika trójfazowego dołączonego do zmiennego obciążenia
Języki publikacji
EN
Abstrakty
EN
This paper proposes a new method, based on the analysis of the active and reactive powers of the induction motor, for the diagnosis of rotor faults in motors coupled to time-varying loads. This new method is able to discriminate the presence of a true rotor fault from a time-varying load and can be used even when both the fault and the load torque variation coexist. A theoretical analysis complemented with experimental results support the effectiveness of this new diagnostic approach for the detection of rotor faults in operating three-phase induction motors.
PL
Zaproponowano nową metodę diagnozowania uszkodzeń wirnika bazującą na analizie mocy czynnej i biernej przy zmieniającym się obciążeniu. Wyniki eksperymentu poparte analizą teoretyczną potwierdziły skuteczność tej metody.
Rocznik
Strony
202--206
Opis fizyczny
Bibliogr. 22 poz., wykr.
Twórcy
autor
autor
  • Department of Electrical and Computer Engineering, Pólo II – Pinhal de Marrocos, 3030-290 Coimbra, Portugal, smacruz@deec.uc.pt
Bibliografia
  • [1] Cruz S. M. A. and Cardoso A. J. M., Rotor cage fault diagnosis in operating three-phase induction motors, under the presence of time-varying loads, Proc. EPE, (2001).
  • [2] Cruz S. M. A. and Cardoso A. J. M., Discriminating between rotor asymmetries and time-varying loads in three-phase induction motors, Proc. COMADEM, (2001), 319-327.
  • [3] Zhenxing L., Xianggen Y., Zhe Z., Deshu Chen A., and Wei Chen A., Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors, IEEE Trans. Energy Conv., 19 (2004), 485- 490.
  • [4] Drif M. and Cardoso A. J. M., The Use of the Instantaneous- Reactive-Power Signature Analysis for Rotor-Cage-Fault Diagnostics in Three-Phase Induction Motors, IEEE Trans. Industrial Electronics, 56 (2009), 4606-4614.
  • [5] Muller G. H. and Landy C. F., A novel method to detect broken rotor bars in squirrel cage induction motors when interbar currents are present, IEEE Trans. Energy Conv., 18 (2003), 71-79.
  • [6] Mirafzal B. and Demerdash N. A. O., On innovative methods of induction motor interturn and broken-bar fault diagnostics, IEEE Trans. Industry Appl., 42 (2006), 405-414.
  • [7] Thomas V., Vasudevan K., and Kumar V. J., Online cage rotor fault detection using air-gap torque spectra, IEEE Trans. Energy Conv., 18 (2003), 265-270.
  • [8] Nandi S., Toliyat H. A., and Xiaodong L., Condition monitoring and fault diagnosis of electrical motors-a review, IEEE Trans. Energy Conv., 20 (2005), 719-729.
  • [9] Henao H., Razik H., and Capolino G., Analytical approach of the stator current frequency harmonics computation for detection of induction machine rotor faults, IEEE Transactions on Industry Appl., 41 (2005), 801-807.
  • [10] Jee-Hoon J., Jong-Jae L., and Bong-Hwan K., Online Diagnosis of Induction Motors Using MCSA," IEEE Trans. Industrial Electronics, 53 (2006), 1842-1852.
  • [11] Schoen R. R. and Habetler T. G., Effects of time-varying loads on rotor fault detection in induction machines, IEEE Trans. Industry Appl., 31 (1995), 900-906.
  • [12] Schoen R. R. and Habetler T. G., Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines, IEEE Trans. Industry Appl., 33 (1997), 1571-1577.
  • [13] Cruz S. M. A. and Cardoso A. J. M., Further developments on the use of the synchronous reference frame current Park's Vector Approach, Proc. IEEE SDEMPED, (2001), 467-472.
  • [14] Bacha K., Gossa M., Henao H., and Capolino G. A., A timefrequency method for multiple fault detection in three-phase induction machines, Proc. IEEE SDEMPED, (2005).
  • [15] Salles G., Filippetti F., Tassoni C., Crellet G., and Franceschini G., Monitoring of induction motor load by neural network techniques, IEEE Trans. Power Electronics, 15 (2000), 762-768.
  • [16] Bossio G. R., Angelo C. H., Bossio J. M., Pezzani C. M., and Garcia G. O., Separating Broken Rotor Bars and Load Oscillations on IM Fault Diagnosis Through the Instantaneous Active and Reactive Currents, IEEE Trans. Industrial Electronics, 56 (2009), 4571-4580.
  • [17] Cruz S. M. A. and Gaspar F., A new PQ method to diagnose rotor faults in three-phase induction motors coupled to timevarying loads, Proc. IEEE SDEMPED, (2011).
  • [18] Cruz S. M. A., Stefani A., Filippetti F., and Cardoso A. J. M., A New Model-Based Technique for the Diagnosis of Rotor Faults in RFOC Induction Motor Drives, IEEE Trans. Industrial Electronics, 55 (2008), 4218-4228.
  • [19] Filippetti F., Martelli M., Franceschini G., and Tassoni C., Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors, Proc. IEEE IAS Annu. Meeting, 1 (1992), 92-99.
  • [20] Bellini A., Filippetti F., Franceschini G., and Tassoni C., Closed-loop control impact on the diagnosis of induction motors faults, IEEE Transactions on Industry Appl., 36 (2000), 1318-1329.
  • [21] Bellini A., Franceschini G., Tassoni C., and Toscani A., Assessment of induction machines rotor fault severity by different approaches, Proc. IEEE IECON, (2005), 1461-1466.
  • [22] Bellini et al., Thorough Understanding and Experimental Validation of Current Sideband Components in Induction Machines Rotor Monitoring, Proc. IEEE IECON, (2006), 4957- 4962.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPOB-0048-0043
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