Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum |
Sadoughi, Alireza
(Dept. of Electrical and Computer Eng., Isfahan University of Technology)
Ebrahimi, Mohammad (Dept. of Electrical and Computer Eng., Isfahan University of Technology) Moallem, Mehdi (Dept. of Electrical and Computer Eng., Isfahan University of Technology) Sadri, Saeid (Dept. of Electrical and Computer Eng., Isfahan University of Technology) |
1 | Gaydon B.G., "An instrument to detect induction motor rotor circuit defects by speed fluctuation measurements", Electric Test and Measuring Instrumentation, Testmex 79 Conference Papers, pp. 5-8, 1979 |
2 | Bellini A., Filippetti F., Franceschini G., Tassoni C., Kliman G., "Quantitative evaluation of induction motor broken bars by means of electrical signature analysis", IEEE Trans. Ind. Applications, Vol. 37, No. 5, pp. 1248- 1255, Sep/Oct. 2001 DOI ScienceOn |
3 | A. Sadoughi, M. Ebrahimi, E. Rezaei, "A New Approach for Induction Motor Broken Bar Diagnosis by Using Vibration Spectrum", SICE-ICASE International Joint Conference 2006, Bexco, Busan, Korea, pp. 4715-4720, Oct. 18-21, 2006 |
4 | F. Filippetti and G. Franceschini, "Neural networks aided on-line diagnostics of induction motor rotor faults", IEEE Trans. On Industry Applications, Vol. 31, No. 4, pp. 892-899, Jul./Aug. 1995 DOI ScienceOn |
5 | Lalanne M., Ferraris G., Rotordynamics Prediction in Engineering, 2nd edition, John Wiley and Sons, 1998 |
6 | Willi ams A.B., Taylor F.J., Electronic Filter Design Hand Book, 3rd ed., 1995 |
7 | Menhaj M. B., Computational Intelligence (vol.1), Fundamentals of Neural Networks, Amirkabir Univ. Press, 2000 |
8 | Deleroi W., "Squirrel cage motor with broken bar in the Rotor -Physical Phenomena and their experimental assessment", ICEM, Budapest, pp. 767-770, 1982 |
9 | M. Rokonuzzaman and M.A. Ranman, "Neural network based incipient fault detection of induction motors", IEEE-IAS, pp. 199-202, 1995 |
10 | Nandi S., Toliyat H., Li X., "Condition monitoring and fault diagnosis of electrical motors-a review", IEEE Trans. Energy Convers., Vol. 20, No. 4, pp. 719-729, Dec. 2005 DOI ScienceOn |
11 | Elkasabgy N. M. ,Eastham A. R.,Dawson G.E., "Detection of broken bars in the cage rotor on an induction machine", IEEETrans.Ind.Applns.,Vol. IA-22, No.6, pp.165-171, 1992 |
12 | M.Y. Chow, "Design considerations for a motor fault detection artificial neural network", IEEE, Industrial Electronics, Control, Instrumentation, and Automation Conference, Vol. 3, pp. 1455-1459, Nov. 1992 |
13 | Kartalopoulos S. V., Understanding Neural Networks and Fuzzy Logic- Basic Concepts and Applications, IEEE press, 1996 |
14 | M. Moradian, M. Ebrahimi, M. Danesh, and M. Bayat, "Detection of broken bars in induction motors using a neural network", Journal of Power Electronics, Korean Institute of Power Electronics, pp. 245-252, July 2006 과학기술학회마을 |
15 | Kliman G. B., Stein J. Endicott R. D., Madden M. W., "Non-invasive detection of broken rotor bars in operating induction motors", IEEE Trans. Energy Conversion, Vol. EC-3, No. 4, pp. 873-879, Dec. 1998 |
16 | Cardoso A. J. M., Crus S. M. A., Carvalho J.F.S., Saraiva E. S., "Rotor cage fault diagnosis in three phase induction motors, by Park's vector approach", IEEE IAS 95, pp. 642-646, 1995 |
17 | M. Ebrahimi, A. Sadoughi, M. Bayat, "Induction motor broken bar diagnosis by simultaneous current and vibration sampling", XVII International Conference on Electrical Machines, ICEM2006, Greece. Sept. 2006 |
18 | Filippetti F., Franceschini G. ,Tassoni C.,Vas P., "A technique in induction machines diagnosis including the speed ripple effect", IEEE - IAS annual Meeting Conference, San Diengo, pp. 655-662, Oct 6-10,1996 |
19 | Oppenheim A. V., Schafer R.W., Discrete - Time Signal Processing, Prentic-Hall, 1989 |
20 | Benbouzid M.E.H., "A review of induction motors signature analysis as a medium for fault detection", IEEE Trans.Ind Electron., Vol. 47, No. 5, pp. 984-993, Oct. 2000 DOI ScienceOn |
21 | Legowski S.F.,Trzynadlowski A., "Instantaneous stator power as a medium for the signature analysis of induction motors", IEEE IAS9, pp. 619-624, 1995 |
22 | Thomson w. T., Dahlieh M. D., Theory of Vibration with Applications |
23 | Liu Z., Yin X., Zhang Z., Chen D., ChenW., "Online rotor mixed fault diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors", IEEE Trans. on Energy Conversion, Vol. 19, No. 3, pp. 485-490, 2004 DOI ScienceOn |