Skip to main content
SpringerLink
Log in

Diagnosis and detection of short circuit in asynchronous motor using three-phase model

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

Several reported works have studied detection and short circuit fault diagnosis in electric machines based on different models. Regarding simplifying assumptions and model conditions of use in relation to stator fault (short circuit), the X change model is proposed because all parameters are computed online. Subsequently, the electrical parameters do not depend on relative position between the stator and the rotor. In this paper, two signal processing techniques are employed for short-circuit diagnosis. The first technique is based on spectral analysis (FFT) using stator current spectral components in healthy and short circuit states at steady state (stationary state). Whereas, the second technique is based on discrete wavelet transform (DWT) considered as an ideal tool because of its signals (non stationary state) analysis ability. Tests are conducted by numerical simulation and the obtained results have showed clearly that, the signatures can be extracted to detect and locate faults.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Abbreviations

[R s ]:

Stator resistance matrix

[R r ]:

Rotor resistance matrix

[M sr ]:

Matrix of stator and rotor mutual inductance

[M rs ]:

Matrix of rotor and stator mutual inductance with [M sr ] = [M rs ]T

[M s ]:

Matrix of stator proper inductance \(\left[ {M_{s} } \right] \, = \, [L_{s\sigma } \left] { \, + \, } \right[M_{ss} ]\)

[M r ]:

Matrix of rotor proper inductance \(\left[ {M_{r} } \right] \, = \, [L_{r\sigma } \left] { \, + \, } \right[M_{rr} ]\)

\([L_{s\sigma } ]\) :

Matrix of stator cyclic inductance

[M ss ]:

Matrix of mutual inductance between three stator winding

\([L_{r\sigma } ]\) :

Matrix of rotor cyclic inductance

[M rr ]:

Matrix of mutual inductance between three rotor winding

P:

Output power (1.1 Kw)

P :

Number of pole pairs (2)

Rr :

Rotor resistance (3.58 Ω)

Rs :

Stator resistance (10.4 Ω)

M:

Mutual inductance (0.44 H)

Lsσ :

Stator leakage inductance of (0.0566 H)

Lrσ :

Rotor leakage inductance of (0.017 H)

References

  • Konan K et al (1988) A new stator model to study induction machine winding short-circuits. ICEM’ 98, Istanbul, Turkey, 3:1516–1521

  • Henao H et al (1997) A circuit-oriented model of induction machine for diagnostics. IEEE SDEMPED, Carry-le-Rouet, France, pp.185–190

  • Bachir S, Tnani S, Trigeassou JC, Champenois G (2001) Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines. EPE’01, Graz, Autriche, Août

  • Boumegoura T (2001) Recherche de signature électromagnétique des défauts dans une machine asynchrone et synthèse d’observateurs en vue de diagnostic. Thèse Doctorat Ecole centrale de Lyon. Mars

  • Casimir R (2003) Diagnostic des défauts des machines asynchrones par reconnaissance des formes. Thèse de Doctorat, Ecole Centrale de Lyon, France

  • Chang X, Cocquempot V, Christophe C (2002) Modélisation de la machine asynchrone en présence de pannes du stator. CEEI-France 23–25

  • Chang X, Cocquempot V, Christophe C (2003) A model of asynchronous machines for stator fault detection and isolation. IEEE transactions on industrial electronics, 50(3)

  • ChinmayaKar AR (2006) Mohanty monitoring gear vibrations through motor current signature analysis and wavelet transform. Mech Syst Signal Proc 20:158–187

    Article  Google Scholar 

  • Green-Uhp, Razik H (2001) Sur la détection d’un défaut au rotor des moteurs asynchrones. La revue 3EI no 27, Juin 2001

  • Houdouin G, Barakat G, Dakyo B, Destobbeleer E (2002) A method for the simulation of inter-turn short circuits in squirrel cage induction machines. EPE-PEMC 2002 Dubrovnik, Cavtat

  • Kechida R, Menacer A, Talhaoui H (2013) Approach signal for rotor fault detection in induction motors. J Fail Anal Preven 13:346–352

    Article  Google Scholar 

  • Nacib L, Saad S, Sakhara S (2014) A comparative study of various methods of gear faults diagnosis. J Fail Anal Prevent 14(5):645–656. doi:10.1007/s11668-014-9860-0

    Article  Google Scholar 

  • Oumaamar MEK (2012) Surveillance et diagnostic des défauts rotoriques et mécaniques de la machine asynchrone avec alimentation équilibrée ou déséquilibrée. Thèse de doctorat; Université de Lorraine, France

  • Razik H (2002) Green-Uhp Le contenu spectral du courant absorbe par la Machine asynchrone en cas de défaillance. Un état de l’art. La revue 3EI (29):48–52

  • Schaeffer E (1999) Diagnostic des machines asynchrones: modèles et outils paramétriques dédiés à la simulation et à la détection de défauts. Ph.D. thèses, Université de Nantes 6, France

  • Shakya P, Darpe AK, Kulkarni MS (2013) Vibration-based fault diagnosis in rolling element bearings: ranking of various time, frequency and time-frequency domain data-based damage identification parameters. Int J Condit Monitor 3(2):53–62

    Article  Google Scholar 

  • Soufi Y (2012) Modélisation et diagnostic d’une association convertisseur machine électrique. Thèse deDoctorat en Sciences; Université de Annaba 2012 Algérie

  • Soufi Y, Bahi T, Harkat MF, Merabet H (2009) Diagnosis and detection of short-circuit in a three-phase induction machine. doi 10.1109/ICCEE.2009.113,2009 IEEE

  • Talhaoui H, Menacer A, Kessal A, Kechida R (2014) Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis. ISA Transactions, Elsevier

  • Zouzou SE, Sahraoui M, Ghoggal A, Guedidi S (2010) Detection of inter-turn short-circuit and broken rotor bars in induction motors using the partial relative indexes: application on the MCSA. ICEM 2010, Rome, 2010 IEEE

Download references

Acknowledgments

The authors like to thank the Algerian general direction of research (DGRSDT) for their financial support.

Author information

Authors and Affiliations

  1. LSELM: Laboratoire Systèmes Electromécaniques, Université de Badji Mokhtar, Annaba, Algeria

    Saadi Sakhara, Salah Saad & Leila Nacib

  2. LAGIS: Laboratoire de Génie Informatique et Signal, Université Lille 1, Lille, France

    Saadi Sakhara & Leila Nacib

  3. Université El Bachir El Ibrahimi, Bordj Bou Arreridj, Algeria

    Saadi Sakhara & Leila Nacib

Authors
  1. Saadi Sakhara
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Salah Saad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Leila Nacib
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Salah Saad.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sakhara, S., Saad, S. & Nacib, L. Diagnosis and detection of short circuit in asynchronous motor using three-phase model. Int J Syst Assur Eng Manag 8, 308–317 (2017). https://doi.org/10.1007/s13198-016-0435-1

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-016-0435-1

Keywords

Search

Navigation