A comparison of phase space reconstruction and spectral coherence approaches for diagnostics of bar and end-ring connector breakage faults in polyphase induction motors using current waveforms

Two signal (waveform) analysis approaches are investigated in this paper for motor drive fault identification-one linear and the other nonlinear. Twenty-one different motor-drive operating conditions including healthy, 1 through 10 broken bars, and 1 through 10 broken end-ring connectors are investigated. Highly accurate numerical simulations of current waveforms for the various operating conditions are generated using the time stepping coupled finite element-state space method for a 208-V, 60-Hz, 2-pole, 1.2-hp, squirrel cage 3-phase induction motor. The linear signal analysis method is based on spectral coherence, whereas the nonlinear signal analysis method is based on stochastic models of reconstructed phase spaces. Conclusions resulting from the comparisons of these two methods are drawn.

[1]  H.A. Toliyat,et al.  Pattern recognition-a technique for induction machines rotor fault detection "eccentricity and broken bar fault" , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[2]  Thomas G. Habetler,et al.  An unsupervised, on-line system for induction motor fault detection using stator current monitoring , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.

[3]  Nabeel A. O. Demerdash,et al.  Simulation of inverter-fed induction motor drives with pulse-width modulation by a time-stepping coupled finite element-flux linkage-based state space model , 1999 .

[4]  Richard J. Povinelli,et al.  Diagnostics of Faults in Induction Motor ASDs Using Time-Stepping Coupled Finite Element State-Space and Time Series Data Mining Techniques , 2000 .

[5]  Mohamed Benbouzid,et al.  Bibliography on induction motors faults detection and diagnosis , 1999 .

[6]  Stephen A. Dyer,et al.  Digital signal processing , 2018, 8th International Multitopic Conference, 2004. Proceedings of INMIC 2004..

[7]  Dimitris G. Manolakis,et al.  Statistical and Adaptive Signal Processing , 2000 .

[8]  E. Ziegel.  Forecasting and Time Series: An Applied Approach , 2000 .

[9]  Nabeel A. O. Demerdash,et al.  Comparison between characterization and diagnosis of broken bars/end-ring connectors and airgap eccentricities of induction motors in ASDs using a coupled finite element-state space method , 2000 .

[10]  R.J. Povinelli,et al.  Diagnostics of eccentricities and bar/end-ring connector breakages in polyphase induction motors through a combination of time-series data mining and time-stepping coupled FE-state space techniques , 2001, Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248).

[11]  Bruce L. Bowerman,et al.  Forecasting and time series: An applied approach. 3rd. ed. , 1993 .

[12]  F. Takens.  Detecting strange attractors in turbulence , 1981 .

[13]  J. Wade Davis,et al.  Statistical Pattern Recognition , 2003, Technometrics.

[14]  Holger Kantz,et al.  Practical implementation of nonlinear time series methods: The TISEAN package. , 1998, Chaos.

[15]  N. A. O. Demerdash,et al.  Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling , 2002, IEEE Power Engineering Review.

[16]  Elizabeth Bradley.  Analysis of time series , 2003 .

[17]  J. A. Stewart,et al.  Nonlinear Time Series Analysis , 2015 .

[18]  Richard J. Povinelli,et al.  Identification of ECG Arrhythmias Using Phase Space Reconstruction , 2001, PKDD.

[19]  Nabeel A. O. Demerdash,et al.  Diagnosis and characterization of effects of broken bars and connectors in squirrel-cage induction motors by a time-stepping coupled finite element-state space modeling approach , 1999 .

[20]  N.A. Demerdash,et al.  Characterization of induction motors in adjustable speed drives using a time-stepping coupled finite element state space method including experimental validation , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[21]  Nabeel A. O. Demerdash,et al.  Performance and torque-ripple characterization in induction motor adjustable-speed drives using time-stepping coupled finite-element state-space techniques , 1999 .

[22]  Nabeel A. O. Demerdash,et al.  Effects of broken bars/end-ring connectors and airgap eccentricities on ohmic and core losses of induction motors in ASDs using a coupled finite element-state space method , 1999, IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. No.99EX272).