Motor fault classification system including a novel hybrid feature reduction methodology

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2011, Pages 2388-2393

  Delgado, M ^a   Urresty, J C ^a   Albiol, L ^b   Ortega, J A ^a   Garcia, A ^a   Romeral, L ^a   Vidal, E ^b  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^b UNIVERSITAT ROVIRA I VIRGILI   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; ELECTRICAL MACHINE; ELECTROMECHANICAL SYSTEMS; FEATURE EXTRACTION TECHNIQUES; FEATURE REDUCTION; FEATURE SPACE; FORWARD SELECTION; HYBRID FEATURES; MACHINE HEALTH MONITORING; MOTOR FAULT; PHASE CURRENTS; STATISTICAL FEATURES; TIME AND FREQUENCY DOMAINS;

ALGORITHMS; BRUSHLESS DC MOTORS; DATA HANDLING; ELECTRIC MACHINERY; FAULT DETECTION; INDUSTRIAL ELECTRONICS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

FEATURE EXTRACTION;

EID: 84856557694     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2011.6119683     Document Type: Conference Paper

References (15)

1. A. Garcia-Perez, R. J. Romero-Troncoso, E. Cabal-Yepez and R. A. Osornio-Rios, "The Application of High-Resolution Spectral Analysis for Identifying Multiple Combined Faults in Induction Motors," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp.2002-2010, May 2011.
2. F. Immovilli, A. Bellini, R. Rubini and C. Tassoni, "Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison," IEEE Trans. On Instr. and Meas., vol. 46, no. 4, pp. 1350-1359, July/Aug. 2010.
3. L. Yaguo, H. Zhengjia and Z. Yanyang, "A new approach to intelligent fault diagnosis of rotating machinery", Expert Systems with Applications, vol. 35, no. 4, pp. 1593-1600, Nov. 2008.
4. A. Bellini, F. Filippetti, C. Tassoni and G. A. Capolino, "Advances in Diagnostic Techniques for Induction Machines," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4109-4126, December 2008.
5. th Annu. IECON, pp. 2845-2850, Nov. 2010.
6. D. Shi-Fei, J. Wei-Kuan, S. Chun-Yang and S. Zhong-Zhi, "Research of pattern feature extraction and selection," in Proc. ICMLC, pp. 466-471, July 2008.
7. th ISSNIP, pp. 297-302, Dec. 2010.
8. nd GCIS, pp.98-101, Dec. 2010.
9. Z. Xu, J. Xuan, T. Shi, B. Wu and Y. Hu, "Application of a modified fuzzy ARTMAP with feature-weight learning for the fault diagnosis of bearing," Expert Systems with Applications, vol. 6, no. 36, pp. 9961-9968, Aug. 2009.
10. nd ed. New York: Willey Interscience, 2001.
11. A. Jain and D. Zongker, "Feature selection: evaluation, application, and small sample performance," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 19, no. 2, pp. 153-158, Feb 1997.
12. nd ed. Springer, 2009.
13. th ICICTA ICICTA, pp.533-536, Oct. 2009.
14. L. Xiang-Qun, H.-Y. Zhang, J. Liu and J. Yang, "Fault detection and diagnosis of permanent-magnet DC motor based on parameter estimation and neural network," IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 1021-1030, Oct 2000.
15. th IECON, pp. 3479-3484, Nov. 2008.