AC motor instrumentation and main air gap flux measurement for fault diagnostics

This paper is related to the current research project “AC Meter Duty Meter” run by The University of Newcastle and ACARP1. The main objective of the project is to develop an innovative condition monitoring tool for large industrial induction motors, which offers a superior fault prediction capability. The approach taken in the project has two distinctive features: it is based on measurement of main air gap flux and it relates motor condition to its duty. This paper will present an overview of the existing methods used in condition monitoring, especially those based on flux measurement. It will then explain about the advantages of the proposed main air gap measurement approach. Preliminary analysis of experimental data collected so far will be included to support the discussion. Finally, the findings of the paper will be summarised in conclusions.

[1]  Antonello Rizzi,et al.  Multi-fault diagnosis of rolling-element bearings in electric machines , 2010, The XIX International Conference on Electrical Machines - ICEM 2010.

[2]  Antonello Monti,et al.  Diagnostic of a Faulty Induction Motor Drive via Wavelet Decomposition , 2007, IEEE Transactions on Instrumentation and Measurement.

[3]  Galina Mirzaeva,et al.  Instrumentation and experimental investigation of industrial DC machines for condition monitoring purposes , 2010, The XIX International Conference on Electrical Machines - ICEM 2010.

[4]  T.M. Wolbank,et al.  Monitoring of Static and Dynamic Air Gap Eccentricity of Inverter Fed Induction Machine Drives , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[5]  K. W. Louie.  A study on magnetic saturation effects in a synchronous generator during unbalanced faults , 2004 .

[6]  Yin Jun,et al.  Simulation and diagnosis in the stator fault of induction motors , 2010, 2010 International Conference On Computer Design and Applications.

[7]  S. Grzybowski,et al.  Electrical Degradation Study of Machine Winding Insulation , 2008, 2008 International Conference on High Voltage Engineering and Application.

[8]  T.G. Habetler,et al.  Incipient Bearing Fault Detection via Motor Stator Current Noise Cancellation Using Wiener Filter , 2009, IEEE Transactions on Industry Applications.

[9]  M. Ahmed,et al.  Comparison of stator current, axial leakage flux and instantaneous power to detect broken rotor bar faults in induction machines , 2008, 2008 Australasian Universities Power Engineering Conference.

[10]  Seungdeog Choi,et al.  A Simple Real-Time Fault Signature Monitoring Tool for Motor-Drive-Embedded Fault Diagnosis Systems , 2011, IEEE Transactions on Industrial Electronics.

[11]  R. Romary,et al.  Eccentricity and broken rotor bars faults - Effects on the external axial field , 2010, The XIX International Conference on Electrical Machines - ICEM 2010.

[12]  Bin Zhang,et al.  Rolling element bearing feature extraction and anomaly detection based on vibration monitoring , 2008, 2008 16th Mediterranean Conference on Control and Automation.

[13]  Remus Pusca,et al.  Study of Rotor Faults in Induction Motors Using External Magnetic Field Analysis , 2012, IEEE Transactions on Industrial Electronics.

[14]  G. Venchi,et al.  Development of a leakage flux measurement system for condition monitoring of electrical drives , 2011, 8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives.

[15]  Galina Mirzaeva,et al.  Evaluation of Current Density in DC Motor Brushes for Mining Machines Based on Air-Gap Field Measurement , 2010 .

[16]  Wajdi Saadaoui,et al.  Induction motor bearing damage detection using stator current analysis , 2011, 2011 International Conference on Power Engineering, Energy and Electrical Drives.

[17]  S.B. Chaudhury,et al.  Online Identification Of AC Motor Misalignment Using Current Signature Analysis and Modified K-Mean Clustering Technique , 2006, 2006 IEEE International Conference on Industrial Technology.

[18]  R. Alves,et al.  Analysis of Air Gap Flux to Detect Induction Motor Faults , 2006, Proceedings of the 41st International Universities Power Engineering Conference.

[19]  G. C. Stone,et al.  Monitoring partial discharges on 4 kV motor windings , 1997, Record of Conference Papers. IEEE Industry Applications Society 44th Annual Petroleum and Chemical Industry Conference.

[20]  M. Negrea.  Electromagnetic flux monitoring for detecting faults in electrical machines , 2006 .

[21]  W. T. Thomson,et al.  On-line diagnosis of stator shorted turns in mains and inverter fed low voltage induction motors , 2002 .

[22]  H. Henao,et al.  Simplified axial flux spectrum method to detect incipient stator inter-turn short-circuits in induction machine , 2004, 2004 IEEE International Symposium on Industrial Electronics.

[23]  J.F. Brudny,et al.  Detection of short circuits between stator laminations of electrical machine by analysis of external magnetic field , 2008, 2008 18th International Conference on Electrical Machines.

[24]  Liling Sun.  Detection of rotor bar breaking fault in induction motors based on Hilbert modulus gyration radius of filtered stator current signal , 2008, 2008 International Conference on Electrical Machines and Systems.

[25]  Juha Pyrhonen,et al.  Design of Rotating Electrical Machines: Pyrhönen/Design , 2013 .

[26]  Chee Peng Lim,et al.  Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[27]  G. Mirzaeva,et al.  A laboratory system to produce a highly accurate and uniform magnetic field for sensor calibration , 2012, 2012 IEEE International Conference on Industrial Technology.

[28]  V. Kokko.  CONDITION MONITORING OF SQUIRREL-CAGE MOTORS BY AXIAL MAGNETIC FLUX MEASUREMENTS , 2003 .

[29]  P. F. Albrecht,et al.  Improved motors for utility applications. Final report , 1982 .

[31]  Don-Ha Hwang,et al.  Detection of air-gap eccentricity and broken-rotor bar conditions in a squirrel-cage induction motor using the radial flux sensor , 2008 .

[32]  D. Casadei,et al.  Flux signature analysis: An alternative method for the fault diagnosis of induction machines , 2005, 2005 IEEE Russia Power Tech.