Abstract
This paper proposes a method for the separation of broken rotor bar failure and low-frequency load fluctuation in line-fed three-phase induction motor. In practice, the presence of load fluctuation at \(2sf_\mathrm{s}\) has the same effect on a stator current of induction motor as a broken rotor bar fault. In such cases, the detection of broken rotor bar failure becomes difficult. To discern rotor fault and load oscillations, the analytical signal angular fluctuation (ASAF) method, which is a combination of Hilbert transform and the space vector angular fluctuation method, is used. The presented experimental results prove that low-frequency load oscillation and rotor fault can reliably be discriminated using the ASAF signal spectrum.
Similar content being viewed by others
References
Nandi S, Toliyat HA, Xiaodong L (2005) Condition monitoring and fault diagnosis of electrical motors—a review. IEEE Trans Energy Convers 20(4):719–729
Long W, Habetler TG, Harley HG (2007) A review of separating mechanical load effects from rotor faults detection in induction motors. In: Proceedings of IEEE conference on diagnostics for electric machines, power electronics and drives, Cracow, pp 221–225
Didier G, Ternisien E, Razik H (2005) Detection of incipient rotor cage fault and mechanical abnormalities in induction motor using global modulation index on the line current spectrum. In: Proceedings of IEEE conference on diagnostics for electric machines, power electronics and drives, Vienna, pp 1–6
Angelo CH, Bossio GR, Garcia GO (2010) Discriminating broken rotor bar from load oscillation using active and reactive powers components. IET Electr Power Appl 4(4):281–290
Bossio GR, De Angelo CH, Bossio JM, Pezzani CM, García GO (2009) Separating broken rotor bars and load oscillations on IM fault diagnosis through the instantaneous active and reactive currents. IEEE Trans Ind Electron 56(11):4571–4580
Pezzani CM, Donolo PD, Castellino AM, Bossio GR, Angelo CH (2010) A new approach to the Park’s vector for broken bars and load oscillation diagnosis on IM. In: Proceedings of IEEE international conference on industrial technology, Vi a Del Mar, pp 1221–1226
Concari C, Franceschini G, Tassoni C (2012) Induction machines current space vector features to effectively discern and quantify rotor faults and external torque ripple. IET Electr Power Appl 6(6):310–321
Cruz SMA (2012) An active–reactive power method for the diagnosis of rotor faults in three-phase induction motors operating under time-varying load conditions. IEEE Trans Energy Convers 27(1):71–84
Drif M, Cardoso AJM (2012) Discriminating the simultaneous occurrence of three-phase induction motor rotor faults and mechanical load oscillations by the instantaneous active and reactive power media analyses. IEEE Trans Ind Electron 59(3):1630–1639
Drif M, Estima JO, Cardoso AJM (2012) Discriminating rotor cage faults and mechanical load oscillations in three-phase induction motors by the stator instantaneous complex apparent impedance. In: Proceedings of IEEE energy conversion congress and exposition, Raleigh, pp 3024–3031
Punche-Panadero R, Pineda-Sanchez M, Riera-Guasp M, Roger-Folch J, Hurtado-Perez E, Perez-Cruz J (2010) Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip. IEEE Trans Energy Convers 24(1):52–59
Jaksch I, Fuchs P (2007) Rotor cage faults detection in induction motors by motor current demodulation analysis. In: Proceedings of IEEE conference on diagnostics for electric machines, power electronics and drives, Cracow, pp 247–252
Xu B, Sun L, Xu L, Xu G (2013) Improvement of the Hilbert method via ESPRIT for detecting rotor fault in induction motors at low slip. IEEE Trans Energy Convers 28(1):225–233
Salem SB, Bacha K, Gossa M (2012) Induction motor fault diagnosis based on a Hilbert current space vector pattern analysis. In: Proceedings of 16th IEEE Mediterranean electrotechnical conference, Yasmine Hammamet, pp 818–823
Alshandoli AF, Ball AD, Gu F (2008) Instantaneous phase variation (IPV) for rotor bar fault detection and diagnosis. In: Proceedings of second international conference on electrical engineering, Lahore, pp 1–7
Goktas T, Arkan M, Ozguven OF (2013) A new method to separate broken rotor failures and low frequency load oscillations in three-phase induction motor. In: Proceedings of IEEE conference on diagnostics for electric machines, power electronics and drives, Valencia, pp 122–127
Thomson WT, Stewart ID (1988) On-line current monitoring for fault diagnosis in inverter fed induction motors. In: Proceedings of 3rd international conference power electronics drives, London, pp 432–435
Kostic-Perovic D, Arkan M, Unsworth PJ (2000) Induction motor fault detection by space vector angular fluctuation. In: Proceedings of IEEE industry applications conference 34th annual meeting—world conference on industrial applications of electrical energy, Rome, pp 388–394
Feldman M (2002) Hilbert transforms, in Encyclopedia of vibration. Academic press, London, pp 642–648
Bellini A, Filippetti F, Francheschini G, Tassoni C, Kliman GB (2001) Quantitative evaluation of induction motor broken bars by means of electrical signature analysis. IEEE Trans Ind Appl 37(5):1248–1255
Kostic-Perovic D (2000) On-line diagnosis of faults in induction motor and pump, University of Sussex, PhD Thesis
Mar A (1990) Digital signal processing applications using the ADSP-2100 family. Prentice-Hall, Englewood Cliffs
Acknowledgments
The authors would like to acknowledge the financial support provided by the Scientific Research Unit (SRU), Inonu University, Project No. 2013/47.
Author information
Authors and Affiliations
Corresponding author
Appendix
Rights and permissions
About this article
Cite this article
Göktaş, T., Arkan, M. & Özgüven, Ö.F. Detection of rotor fault in three-phase induction motor in case of low-frequency load oscillation. Electr Eng 97, 337–345 (2015). https://doi.org/10.1007/s00202-015-0342-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00202-015-0342-5