Symmetrical components and current Concordia based assessment of single phasing of an induction motor by feature pattern extraction method and radar analysis

Abstract Diagnosis of single phasing of an induction motor has been done by sequence components, stator current Concordia and radar analysis. Conventional sequence component method is first used to detect single phasing of an induction motor by measuring negative sequence components and angle shift of healthy phases. Then, Concordia analysis is done where, stator current Concordia is formed and rule set is developed for detection of single phasing. Concordia at normal condition is circular and that of stator current during single phasing is straight line. Radar analysis is then performed. Radars of stator currents at normal condition give three closed loops having one cleavage and they are located 120° apart from each other. Radars of stator currents at single phasing give three closed loops; two of which have cleavage and the other is circular free from cleavage which corresponds to the faulty phase. Some specific parameters are defined and again radar analysis of these parameters is performed. These radars are of triangular shaped. All Concordia and radar are assessed for diagnosis of single phasing of an induction motor.

[1]  W. T. Thomson,et al.  Development of a tool to detect faults in induction motors via current signature analysis , 2003, Cement Industry Technical Conference, 2003. Conference Record. IEEE-IAS/PCA 2003.

[2]  Luis Romeral,et al.  Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition , 2008, IEEE Transactions on Industrial Electronics.

[3]  N.Y. Abed,et al.  Modeling and characterization of induction motor internal faults using finite element and discrete wavelet transform , 2006, INTERMAG 2006 - IEEE International Magnetics Conference.

[4]  Mohamed Benbouzid,et al.  Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach , 2000 .

[5]  Madhuchhanda Mitra.  Harmonic analysis in a three-phase system using park transformation technique , 2007 .

[6]  Majid Jamil,et al.  Sensitivity analysis of fault quantities , 2000 .

[7]  Ratna Dahiya,et al.  An Approach of Condition Monitoring of Induction Motor Using MCSA , 2007 .

[8]  Chun-xia Dou,et al.  Fault location using synchronized sequence measurements , 2008 .

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

[10]  Surajit Chattopadhyay,et al.  Electric Power Quality , 2011 .

[11]  M. Tavakoli Bina,et al.  Three-phase unbalance of distribution systems: Complementary analysis and experimental case study , 2011 .

[12]  Syed Islam,et al.  Novel microprocessor based negative phase sequence relay and meter , 1996 .

[13]  Arturo Garcia-Perez,et al.  FPGA based embedded system for induction motor failure monitoring at the start-up transient vibrations with wavelets , 2008, 2008 International Symposium on Industrial Embedded Systems.

[14]  Pradipta Kishore Dash,et al.  Pattern recognition based digital relaying for advanced series compensated line , 2008 .

[15]  S. Caldara,et al.  A fuzzy diagnostic system: application to linear induction motor drives , 1997, IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings.

[16]  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.

[17]  D. Diallo,et al.  Fault detection and diagnosis in an induction Machine drive: a pattern recognition approach based on concordia stator mean current vector , 2005, IEEE Transactions on Energy Conversion.

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

[19]  J.F. Watson,et al.  Improved techniques for rotor fault detection in three-phase induction motors , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[20]  Bin Lu,et al.  Induction motor rotor fault diagnosis using wavelet analysis of one-cycle average power , 2008, 2008 Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition.

[21]  Bin Wang,et al.  A generalized method to improve the location accuracy of the single-ended sampled data and lumped parameter model based fault locators , 2009 .

[22]  A. Y. Chikhani,et al.  Power quality detection and classification using wavelet-multiresolution signal decomposition , 1999 .

[23]  David G. Dorrell,et al.  Analysis of airgap flux, current and vibration signals as a function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[24]  Jovitha Jerome,et al.  Pattern recognition of power signal disturbances using S Transform and TT Transform , 2010 .

[25]  Kil To Chong,et al.  Induction Machine Condition Monitoring Using Neural Network Modeling , 2007, IEEE Transactions on Industrial Electronics.

[26]  Vijay S. Kale,et al.  Fault section estimation in power system using Hebb's rule and continuous genetic algorithm , 2011 .

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

[28]  Mohamed Benbouzid,et al.  Induction motor stator faults diagnosis by a current Concordia pattern-based fuzzy decision system , 2003 .

[29]  Jinfang Zhang,et al.  Fault localization in electrical power systems: A pattern recognition approach , 2011 .

[30]  H. Douglas,et al.  The impact of wavelet selection on transient motor current signature analysis , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[31]  Colin H. Hansen,et al.  Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading , 2006 .

[32]  Hamid A. Toliyat,et al.  Fault diagnosis of electrical machines-a review , 1999, IEEE International Electric Machines and Drives Conference. IEMDC'99. Proceedings (Cat. No.99EX272).