Diagnosis of induction motor faults using instantaneous frequency signature analysis

This paper investigates a new technique for diagnosing faults in three-phase induction motors. The instantaneous frequency signature analysis (IFSA) relates to the monitoring of the fundamental frequency modulation for the diagnosis of faults. The rotor and stator faults in induction machines involve an internal magnetic imbalance, which is reflected in the stator current. This effect may be detected by estimating the fundamental instantaneous frequency signature via stator current. The IFSA is a non-intrusive, on-line monitoring technique for the faults diagnosis.

[1]  Alireza Sadeghian,et al.  Current signature analysis of induction motor mechanical faults by wavelet packet decomposition , 2003, IEEE Trans. Ind. Electron..

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

[3]  L.A.L. de Almeida,et al.  Improving the signal data acquisition in condition monitoring of electrical machines , 2003, Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412).

[4]  Mouloud Feliachi,et al.  For an Accurate Diagnosis of Induction Motor Faults under Distorted Supply Voltage , 2005, Intell. Autom. Soft Comput..

[5]  Peter Vas,et al.  Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines , 1993 .

[6]  V. Eckhardt,et al.  Dynamic measuring of frequency and frequency oscillations in multiphase power systems , 1989 .

[7]  A. Carlosena,et al.  Instrument for the measurement of the instantaneous frequency , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[8]  F. Filippetti,et al.  AI techniques in induction machines diagnosis including the speed ripple effect , 1996 .

[9]  A.J. Marques Cardoso,et al.  Rotor cage fault diagnosis in three-phase induction motors, by Park's vector approach , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[10]  A. Bentounsi,et al.  Detailed study of the rotor asymmetry effects of induction machine under different supply conditions , 2005, 2005 European Conference on Power Electronics and Applications.

[11]  A. T. Johns,et al.  Frequency relaying based on instantaneous frequency measurement [power systems] , 1996 .

[12]  G. B. Kliman,et al.  Noninvasive detection of broken rotor bars in operating induction motors , 1988 .

[13]  Gerald Burt Kliman,et al.  Methods of Motor Current Signature Analysis , 1992 .