Detection of inter-turn short-circuit and broken rotor bars in induction motors using the Partial Relative Indexes: Application on the MCSA

Nowadays, the induction motors became the key element in all industrial plants. Early detection of abnormalities during motor operation would reduce the repair cost and the motor outage time. It was observed that most methods which are presented in literature for diagnosing motor faults are belonged to signal approach. Their philosophy supposes that each fault is characterized by specific spectral signatures on the spectra of acquired signals. However, practical cases show that occurrence of any kind of faults is often accompanied by complicated physical phenomena which extend its influences to other spectral components different from its signatures; this makes too difficult to locate the machine faults and poses then a big question about the concept of: Fault Signatures. In this context and in order to ameliorate the fault detection task, the present paper proposes the use of Partial Relative Indexes (PRI) as new fault indicators. Many experimental tests which are carried out on 3kW three-phase induction motors with broken bars and inter turn short-circuit corroborate our theoretical ideas and confirm the effectiveness of the proposed technique to detect such faults under different operation loads.

[1]  Hubert Razik,et al.  Induction Motor Diagnosis Using Line Neutral Voltage Signatures , 2009, IEEE Transactions on Industrial Electronics.

[2]  R. Puche-Panadero,et al.  Improved Resolution of the MCSA Method Via Hilbert Transform, Enabling the Diagnosis of Rotor Asymmetries at Very Low Slip , 2009, IEEE Transactions on Energy Conversion.

[3]  Bong-Hwan Kwon,et al.  Online Diagnosis of Induction Motors Using MCSA , 2006, IEEE Transactions on Industrial Electronics.

[4]  H. Razik,et al.  Analytical approach of the stator current frequency harmonics computation for detection of induction machine rotor faults , 2005, IEEE Transactions on Industry Applications.

[5]  Thomas G. Habetler,et al.  A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems , 2008, IEEE Transactions on Industrial Electronics.

[6]  A.J. Marques Cardoso,et al.  Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park's vector approach , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[7]  H. Razik,et al.  Modelling and Detection of Inter-Turn Short Circuits in Stator Windings of Induction Motor , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[8]  Gojko Joksimovic,et al.  The detection of inter-turn short circuits in the stator windings of operating motors , 2000, IEEE Trans. Ind. Electron..

[9]  A. Khezzar,et al.  Neutral Voltage Analysis for Broken Rotor Bars Detection in Induction Motors Using Hilbert Transform Phase , 2007, 2007 IEEE Industry Applications Annual Meeting.

[10]  J. Penman,et al.  Detection and location of interturn short circuits in the stator windings of operating motors , 1994 .

[11]  H. Razik,et al.  Broken bars and/or end rings detection in three-phase induction motors by the extended Park's vector approach , 2004, 9th IEEE International Power Electronics Congress, 2004. CIEP 2004.

[12]  B. Singh,et al.  A review of stator fault monitoring techniques of induction motors , 2005, IEEE Transactions on Energy Conversion.

[13]  W. T. Thomson,et al.  Current signature analysis to detect induction motor faults , 2001 .

[14]  Y. Han,et al.  Condition Monitoring Techniques for Electrical Equipment: A Literature Survey , 2002, IEEE Power Engineering Review.

[15]  Zhenxing Liu,et al.  Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors , 2004, IEEE Transactions on Energy Conversion.

[16]  J. S. Hsu,et al.  Monitoring of defects in induction motors through air-gap torque observation , 1995 .

[17]  Mohamed El Hachemi Benbouzid A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..

[18]  Hamid A. Toliyat,et al.  Novel frequency-domain-based technique to detect stator interturn faults in induction machines using stator-induced voltages after switch-off , 2002 .

[19]  Ph. de Heering Modelling and Detection , 1977 .