Development of a Test Bed for Examination of an Induction Motor with Broken Rotor Bars


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Examining a failed induction motor is a complex problem. It is very important to monitor induction motor faults such as broken rotor bar or end ring fault under the laboratory conditions. Since such faults do not frequently occur, they have to be created by the researcher himself or herself. Induction motor rotor bar faults are generally created by drilling holes to the rotor bars or to the end rings. Transient analyses are carried out both for the faulted and healthy conditions. In this study, an experimental test bed was developed to examine the experienced broken rotor bar faults for induction motors.  By using the developed test bed, all possible combinations of broken rotor bar faults can be created. This test bed can successfully be used to model different fault types. In the case of broken rotor bar faults, extensive examination of motor behaviors for training purposes will also be possible. Also for faulted and healthy conditions by performing no-load and blocked rotor test experiments the changes in equivalent circuit parameters have been investigated. Moreover the importance of transition resistance and its effects on motor performance has been emphasized
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Induction Motor; Broken Rotor Bar Fault; Test Bed; Transition Resistance

Full Text:

PDF


References


M. Akar, A. Fenercioğlu, M. Soyaslan, The diagnosis of rotor bar broken fault in asynchronous motor with electromagnetic torque, 6th International Advanced Technologies Symposium ~IATS’11~, 2011, Elazığ, Turkey.

S. Kolla, L. Varatharasa, Identifying Three-Phase Induction Motor Faults Using Artificial Neural Networks, ISA Transactions, vol. 39, 2000, pp. 433 – 439.

M. Akar, I. Çankaya, The diagnosis of rotor bar broken fault in asynchronous motor drived by inverter, 5th International Advanced Technologies Symposium ~IATS' 09~, 2009, Karabük, Turkey.

C.T. Kowalski, T.O. Kowalska, Neural Networks Application for Induction Motor Faults Diagnosis, Mathematics and Computers in Simulation, vol. 63, 2003, pp. 435 – 448.

C.C. Yeh, G.Y. Sizov, A.S. Ahmed, N.A.O. Demerdash, R.J. Povinelli, E.E. Yaz, D.M. Ionel, A Reconfigurable Motor for Experimental Emulation of Stator Winding Inter-Turn and Broken Bar Faults in Polyphase Induction Machines, IEEE Transactions on Energy Conversion, vol. 23 n. 4, 2008, pp. 1005 – 1014.

R. Supangat, N. Ertugrul, W.L. Soong, D.A. Gray, C. Hansen, J. Grieger, Detection of Broken Rotor Bars in Induction Motor Using Starting-Current Analysis and Effects of Loading, IEE Proc.-Electr. Power Appl., vol. 153 n. 6, 2006, pp. 848 – 855.

X. Ying, Performance Evaluation and Thermal Fields Analysis of Induction Motor with Broken Rotor Bars Located at Different Relative Positions, IEEE Transactions on Magnetics, vol. 46 n. 5, 2010, pp. 1243 – 1250.

M. Seera, C.P. Lim, D. Ishak, H. Singh, Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM–CART Model, IEEE Transactions on Neural Networks and Learning Systems, vol. 23 n. 1, 2012, pp. 97 – 108.

J. Faiz, M. Ojaghi, Unified Winding Function Approach for Dynamic Simulation of Different Kinds of Eccentricity Faults in Cage Induction Machines, IET Electr. Power Appl., vol. 3 n. 5, 2009, pp. 461 – 470.

A. Siddique, G.S. Yadava, B. Singh, A Review of Stator Fault Monitoring Techniques of Induction Motors, IEEE Transactions on Energy Conversion, vol. 20 n. 1, 2005, pp. 106 – 114.

H. Douglas, P. Pillay, A.K. Ziarani, Broken Rotor Bar Detection in Induction Machines with Transient Operating Speeds, IEEE Transactions on Energy Conversion, vol. 20 n. 1, 2005, pp. 135 – 141.

J.F. Watson, N.C. Paterson, D.G. Dorrell, The Use of Finite Element Methods to Improve Techniques for Early Detection of Faults in 3-Phase Induction Motors, IEEE Transactions on Energy Conversion, vol. 14 n. 3, 1999, pp. 655 – 660.

J. Faiz, B.M. Ebrahimi, Mixed Fault Diagnosis in Three Phase Squirrel-Cage Induction Motor Using Analysis of Air Gap Magnetic Field, Progress in Electromagnetics Research, vol. 64, 2006, pp. 239 – 255.

E.K. Chang, B.J. Yong, B.Y. Sang, H.I. Dal, The Fault Diagnosis of Rotor Bars in Squirrel Cage Induction Motors by Time-Stepping Finite Element Method, IEEE Transactions on Magnetics, vol. 33 n. 2, 1997, pp. 2131 – 2134.

R. Fiser, S. Ferkolj, Application of a Finite Element Method to Predict Damaged Induction Motor Performance, IEEE Transactions on Magnetics, vol. 37 n. 5, 2001, pp. 3635 – 3639.

L. Weili, X. Ying, S. Jiafeng, L. Yingli, Finite Element Analysis of Field Distribution and Characteristic Performance of Squirrel-Cage Induction Motor with Broken Bars, IEEE Transactions on Magnetics, vol. 43 n. 4, 2007, pp. 1537 – 1540.

R. Fiser, S. Ferkolj, Calculation of magnetic field asymmetry of induction motor with rotor faults, Electrotechnical Conference MELECON 98, 1998.

G.H. Müller, C.F. Landy, A Novel Method to Detect Broken Rotor Bars in Squirrel Cage Induction Motors When Interbar Currents are Present, IEEE Transactions on Energy Conversion, vol. 18 n. 1, 2003, pp. 71 – 78.

M.E.H. Benbouzid, G.B. Kliman, What Stator Current Processing-Based Technique to Use for Induction Motor Rotor Fault Diagnosis, IEEE Transactions on Energy Conversion, vol. 18 n. 2, 2003, pp. 238 – 244.

A. Raie, V. Rashtchi, Using a Genetic Algorithm for Detection and Magnitude Determination of Turn Faults in an Induction Motor, Electrical Engineering, vol. 84, 2002, pp. 275 – 279.

Abu-Elhaija, W., Ebrahimi, B.M., Faiz, J., Influence of simulation precision on broken rotor bars fault diagnosis accuracy in induction motors, (2012) International Review of Electrical Engineering (IREE), 7 (2), pp. 3935-3940.

A.H. Boudinar, A. Bendiabdellah, N. Benouzza, N. Boughanmi, Three Phase Induction Motor Incipient Rotor's Faults Detection Based on Improved Root-MUSIC Approach, (2007) International Review of Electrical Engineering (IREE), 2 (3), pp. 406 - 413.

G.R. Bossio, C.H. De Angelo, J.M. Bossio, C.M. Pezzani, G.O. Garcia, Separating Broken Rotor Bars and Load Oscillations on IM Fault Diagnosis Through the Instantaneous Active and Reactive Currents, IEEE Transactions on Industrial Electronics, vol. 56 n. 11, 2009, pp. 4571 – 4580.

M.F. Cabanas, F. Pedrayes, M.G. Melero, C.H.R. Garcia, J.M. Cano, G.A. Orcajo, J.G. Norniella, Unambiguous Detection of Broken Bars in Asynchronous Motors by Means of a Flux Measurement-Based Procedure, IEEE Transactions on Instrumentation and Measurement, vol. 60 n. 3, 2011, pp. 891 – 899.

B. Xu, L. Sun, H. Ren, A New Criterion for the Quantification of Broken Rotor Bars in Induction Motors, IEEE Transactions on Energy Conversion, vol. 25 n. 1, 2010, pp. 100 – 106.

S. Chen, R. Zivanovic, Modelling and Simulation of Stator and Rotor Fault Conditions in Induction Machines for Testing Fault Diagnostic Techniques, European Transactions on Electrical Power, Euro. Trans. Electr. Power, vol. 20, 2010, pp. 611 – 629.

R. Fiser, H. Lavric, V. Ambrozic, M. Bugeza, Diagnostic system for on-line detection of rotor faults in induction motor drives, Diagnostics for Electric Machines, Power Electronics & Drives ~SDEMPED~, 2011 IEEE International Symposium, 2011.

K.S. Gaeid, H.A.F. Mohamed, Diagnosis and Fault Tolerant Control of the Induction Motors Techniques a Review, Australian Journal of Basic and Applied Sciences, vol. 4 n. 2, 2010, pp. 227 – 246.

H. Arabaci, O. Bilgin, A. Urkmez, Rotor bar fault diagnosis by using power factor, Proceedings of the World Congress on Engineering, 2011.

N. Mehala, Condition monitoring and fault diagnosis of induction motor using motor current signature analysis, Ph.D. dissertation, Dept. National Institute of Technology Kurukshetra, 2010.

G.B. Kliman, W.J. Premerlani, R.A. Koegl, D. Hoeweler, A new approach to on-line fault detection in ac motors, Industry Applications Conference, Thirty-First IAS Annual Meeting ~IAS'96~, Conference Record of the IEEE, 1996.

S. Nandi, H.A. Toliyat, X. Li, Condition Monitoring and Fault Diagnosis of Electrical Machines-a Review, IEEE Transactions on Energy Conversion, vol. 20 n. 4, 2005, pp. 719 – 729.

P.S. Chandran, S. Rishidas, Detection of rotor faults in induction motor by multiresolution methods, ICTT Electronics and Communication/Applied Electronics Papers, 2011.

S.S. Prashant, S.S. Sunder, K.S. Krishna, S.A. Sharma, Computer aided online fault diagnosis of induction motors, 9th International Conference, Electrical Power Quality and Utilisation, 2007.

M.M. Tezcan, Finite element study of an induction motor having broken rotor bar faults, Master’s thesis, Dept. Elct. and Elctr. Eng., Dumlupinar Univ., Kutahya, Turkey, 2008.

Filippetti, F., Franceschini, G., Ometto, A., Meo, S., Survey of neural network approach for induction machine on-line diagnosis, Proceedings of the 1996 31st Universities Power Engineering Conference. Part 1 (of 3);Iraklio, Greece;18 September 1996through20 September 1996, pp. 17-20.

S. Meo, A. Ometto, N. Rotondale, Diagnostic-Oriented Modelling of Induction Machines with Stator Short Circuits, (2012) International Review on Modelling and Simulations (IREMOS), 5 (3), pp. 1202-1209.

S. Meo, A. Ometto, N. Rotondale, Influence of Closed-Loop Control Operations on Detecting Induction Machine Stator Faults, (2012) International Review of Electrical Engineering (IREE), 7 (3), pp. 4359-4365.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize