Detection of Stator Winding Faults in Induction Machines Using an Internal Flux Sensor

In this work is presented the implementation of a special flux coil sensor inside three-phase induction motors is used as experimental platforms. This sensor is sensitive to electromagnetic field and is used for detection and diagnosis electrical faults. It was established the relationship between the main electrical faults (inter-turn short circuits and unbalanced voltage supplies) and the signals of magnetic flux in order to identify the characteristic frequencies of those faults. The experimental results shown the efficiency of the flux coil sensor developed and the strategies for detection, diagnosis and monitoring tasks. The results were undoubtedly impressive and the system developed can be adapted and used in real predictive maintenance programs in industries.

[1]  Da Silva,et al.  Induction Motor Fault Diagnostic and Monitoring Methods , 2006 .

[2]  Everett C. Elgar,et al.  Thermal Tracking-A Rational Approach to Motor Protection , 1974 .

[3]  W. R. Finley,et al.  Trouble shooting motor problems , 1993, Industry Applications Society 40th Annual Petroleum and Chemical Industry Conference.

[4]  Paul C. Krause,et al.  Analysis of electric machinery , 1987 .

[5]  Ian Culbert,et al.  Assessment of insulation condition in rotating machine stators , 1992 .

[6]  Arindam Ghosh,et al.  Detection of incipient faults in single phase induction motors using fuzzy logic , 1998, Power Quality '98.

[7]  Hamid A. Toliyat,et al.  Novel frequency domain based technique to detect incipient stator inter-turn faults in induction machines , 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).

[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]  T.A. Lipo,et al.  Multiple coupled circuit modeling of induction machines , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[10]  Mohamed Benbouzid,et al.  Induction motors' faults detection and localization using stator current advanced signal processing techniques , 1999 .

[11]  Mohamed Benbouzid,et al.  A simple fuzzy logic approach for induction motors stator condition monitoring , 2001, IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No.01EX485).

[12]  L. M. R. Baccarini,et al.  Detecção e diagnóstico de falhas em motores de indução , 2005 .

[13]  R. Maier,et al.  Protection of squirrel cage induction motor utilizing instantaneous power and phase information , 1990, Conference Record of the 1990 IEEE Industry Applications Society Annual Meeting.

[14]  M. E. H. Benbouzid,et al.  What Stator Current Processing Based Technique to Use for Induction Motor Rotor Faults Diagnosis , 2002, IEEE Power Engineering Review.

[15]  J.L. Kohler,et al.  Prediction of electrical behavior in deteriorating induction motors , 1990, Conference Record of the 1990 IEEE Industry Applications Society Annual Meeting.

[16]  J. M. Gojko,et al.  Skew and linear rise of MMF across slot modelling-winding function approach , 1999 .

[17]  H. Joel Trussell,et al.  Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis , 1999, IEEE Trans. Ind. Electron..