Fault diagnosis of induction motor using linear discriminant analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3684 LNAI, Issue , 2005, Pages 860-865

  Lee, Dae Jong ^a   Park, Jang Hwan ^b   Kim, Dong Hwa ^c   Chun, Myung Geun ^d  

^a UNIVERSITY OF ALBERTA   (Canada)

^b Chungju National University   (South Korea)

^c Hanbat National University   (South Korea)

^d Chungbuk National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC FAULT LOCATION; INDUSTRIAL APPLICATIONS; LINEAR EQUATIONS; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

FAULT DIAGNOSIS; LINEAR DISCRIMINANT ANALYSIS; REAL INDUSTRIAL APPLICATIONS;

INDUCTION MOTORS;

EID: 33745298742     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11554028_120     Document Type: Conference Paper

References (12)

1. Ye Zhongming, Wu Bin, "A review on induction motor online fault diagnosis", PIEMC 2000, Vol. 3 (2000) 1353-1358
2. Benbouzid, M.B.H., Kliman, G.B, "What stator current processing-based technique to use for induction motor rotor faults diagnosis?", IEEE Transactions on Energy Conversion, Vol 18, Issue 2 (2003) 238-244
3. Thomson, W.T., Fenger, M, "Current signature analysis to detect induction motor faults", IEEE Industry Applications Magazine, Vol. 7, Issue 4 (2001) 26-34
4. Nejjari, H., Benbouzid, M.B.H., "Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach", IEEE Transactions on Industry Applications, Vol. 36, Issue 3 (2000) 730-735
5. Bellini, A., Filippetti, F., Franceschini, G., Tassoni, C, Kliman, G.B., "Quantitative evaluation of induction motor broken bars by means of electrical signature analysis", IEEE Transactions on Industry Applications, Vol. 37, Issue 5 (2001) 1248-1255
6. Kyusung Kim, Parlos, A.G., Mohan Bharadwaj, R., Sensorless fault diagnosis of induction motors, IEEE Transactions on Industrial Electronics, Vol. 50 Issue 5 (2003) 1038-1051
7. Zidani, F., El Hachemi Benbouzid, M., Diallo, D., Nait-Said, M.S., "Induction motor stator faults diagnosis by a current concordia pattern-based fuzzy decision system", IEEE Transactions on Energy Conversion, Vol. 18, Issue 4 (2003) 469-475
8. Haji, M., Toliyat, H.A., Pattern recognition-a technique for induction machines rotor broken bar detection, IEEE Trans, on, Energy Conversion, Vol. 16, Issue 4 (2001) 312-317
9. Trzynadlowski, A.M., Ritchie, E., "Comparative investigation of diagnostic media for induction motors: a case of rotor cage faults", IEEE Trans, on, Industrial Electronics, Vol. 47, Issue 5 (2000) 1092-1099
10. M. Turk, A. Pentland, "Face recognition using eigenfaces", Proc. IEEE Conf. on Computer Vision and Pattern Recognition (1991) 586-591
11. P. N. Belhumeur, J. P. Hespanha, D. J. Kriegmaqn, "Eigenfaces vs. Fisherfaces: recognition using class specific Linear Projection", IEEE Trans, on Pattern Analysis and Machine Intell., 19(7) (1997) 711-720
12. Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification, JOHN WILEY&SONS, INC. Second Edition (2002)