Incipient fault diagnosis in electrical drives by tuned neural networks

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn , Issue , 2006, Pages 1284-1289

  Azzini, A ^a   Cristaldi, L ^b   Lazzaroni, M ^a   Monti, A ^c   Ponci, F ^c   Tettamanzi, A G B ^a  

^a UNIVERSITY OF MILAN   (Italy)

^b POLITECNICO DI MILANO   (Italy)

^c The Department of Mechanical Engineering   (United States)

Author keywords

Diagnostic; Evolutionary algorithms; Neural networks; Pattern recognition; Testing

Indexed keywords

BACKPROPAGATION ALGORITHMS; ELECTRIC FAULT LOCATION; EVOLUTIONARY ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION;

EVOLUTIONARY OPTIMIZATION; MONITORING SYSTEM; SPECIALIZED DECODER; TIME-FREQUENCY TRANSFORM;

ELECTRIC DRIVES;

EID: 36048934306     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMTC.2006.235830     Document Type: Conference Paper

References (20)

1. L. Cristaldi, A. Ferrero, A. Monti, S. Salicone, "A Versatile Monitoring System, for AC Motor Drives," IEEE SDEMPED 2001, Grado, Italy, Sept. 2001.
2. E. Carminad, L. Cristaldi, M. Lazzaroni, A. Monti, "A Neuro-Fuzzy Approach For The Detection Of Partial Discharge," IEEE Transactions on Instrumentation and Measurements, Oct. 2001.
3. L. Cristaldi, A. Ferrero, S. Salicone, "A distributed system for electric power quality measurement," IEEE IMTC 2001, pp. 2130-2135, Budapest, Hungary, 21-23 May 2001.
4. L. Cristaldi, A. Ferrero, M. Lazzaroni, A. Monti, "A Wavelet-Based Approach To Diagnostic And Monitoring For Ac Drives," IEEE IMTC02, Anchorage, AK.
5. L. Cristaldi, M. Lazzaroni, A. Monti, F. Ponci, F.E. Zocchi, "A Genetic Algorithm for fault identification in electrical drives: a comparison with Neuro-Fuzzy computation," IMTC 2004 - Instrumentation and Measurement Technology Conference, Como, Italy, 18-20 May 2004.
6. D. Montana and L. Davis, "Training feed forward neural networks using genetic algorithms," Proceedings of the 11th International Conference on Artificial Intelligence, pp. 762-767, Morgan Kaufmann, 1989.
7. D. Whitley and T. Hanson, "Optimizing neural networks using faster, more accurate genetic search," Proceedings of the Third International Conference in genetic Algorithms, pp. 391-396, J. D. Schaffer editor, Morgan Kaufmann, 1989.
8. D. Whitley, T. Starkweather, and C. Bogart, "Genetic algorithms and neural networks: Optimizing connections and connectivity," Parallel computing, vol.14, pp. 347-361, 1993.
9. X. Yao, "Evolving artificial neural networks," Proceedings on IEEE, pp. 1423-1447, 1999.
10. X. Yao and Y.Liu, "A new evolutionary system for evolving artificial neural networks," IEEE Transactions on Neural Networks, vol. 8, Issue. 3, pp. 694-713, May 1997.
11. X. Yao and Y.Liu, "Evolving modular neural networks which generalise well," Proceedings of the IEEE International Conference on Artificial Life and Robotics, vol. 2, pp. 736-739, M. Sugisake, 1998.
12. X. Yao and Y.Liu, "Towards designing artificial neural networks by evolution," Applied Mathematics and Computation, vol. 91, Issue. 1, pp. 83-90, 1998.
13. G. Miller, P. Todd, and S. Hegde, "Designing neural networks using genetic algorithms," Proceedings of the Third International Conference on Genetic Algorithms, pp. 379-384, J.D. Schaffer, 1989.
14. K. Stanley and R. Miikkulainen, "Evolving neural networks through augmenting topologies," Technical report, University of Texas at Austin, Department of Computer Science, Austin, Texas, 2001.
15. J. J. Merelo, M. Patn, A. Canas, A. Prieto, and F. Morn, "Optimization of a competitive learning neural network by genetic algorithms," Lecture Notes in Computer Science, pp. 185-192, 1993.
16. P. A. Castillo, J. Gonzalez, J. J. Merelo, V. Rivas, G. Romero, and A. Prieto, "Sa-prop: Optimization of multilayer perceptron parameters using simulated annealing," Lecture Notes in Computer Science, vol. 1, Issue 1606, pp. 661-670, 1998.
17. I. Daubeschies, "Ten Lectures on Wavelet," Society for Industrial and Applied Mathematics, Philadelphia, Pennsylvania, 1992.
18. S. Mallat, "A Wavelet Tour of Signal Processing," Academic Press, San Diego, CA, 1999.
19. A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, "Closed-loop control impact on the diagnosis of induction motors faults," IEEE Transactions on Industry Applications, vol. 36, Issue 5, pp. 1318-1329, Sept.Oct. 2000.
20. A. Azzini, M. Lazzaroni, and A.G.B. Tettamanzi, "A neuro-genetic approach to neural network design," F. Sartori, S. Manzoni, and M. Palmonari, editors, AI*IA 2005 Workshop on Evolutionary Computation, AI*IA, Italian Association for Artificial Intelligence, September 20, 2005.