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Mathematical Problems in Engineering
Volume 2015, Article ID 203083, 9 pages
Research Article

A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR

1School of Electric & Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu 210042, China
2Electrical Engineering, Southeast University, Nanjing, Jiangsu 210096, China

Received 8 December 2014; Accepted 12 March 2015

Academic Editor: Simone Bianco

Copyright © 2015 Gang Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. Zhao, X. Zhang, and B. He, “Probabilistic statistical analysis on self-organized criticality of power grid blackouts,” Power System Technology, vol. 20, p. 018, 2008. View at Google Scholar
  2. M. Wang, X. Qi, S. Niu, and F. Han, “Online estimation of transformer parameters based on PMU measurements,” Automation of Electric Power Systems, vol. 35, no. 13, pp. 61–65, 2011. View at Google Scholar · View at Scopus
  3. H. Y. Zhang, S. L. Zhu, Y. Zhang et al., “Research and implementation of condition-based maintenance technology system for power transmission and distribution equipments,” Power System Technology, vol. 33, no. 13, pp. 70–73, 2009. View at Google Scholar
  4. M. Li, X. Han, M. Yang, and Z. Guo, “Basic concept and theoretical study of condition-based maintenance for power transmission system,” Proceedings of the Chinese Society of Electrical Engineering, vol. 31, no. 34, pp. 43–52, 2011. View at Google Scholar · View at Scopus
  5. P. Sandborn, V. Prabhakar, and O. Ahmad, “Forecasting electronic part procurement lifetimes to enable the management of DMSMS obsolescence,” Microelectronics Reliability, vol. 51, no. 2, pp. 392–399, 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. J.-M. Wang, W.-Y. Liu, F. Wei, P. Du, and L.-Z. Wang, “Study on policies of condition based maintenance of transmission and distribution equipments combined with life cycle cost management,” Power System Protection and Control, vol. 39, no. 5, pp. 77–80, 2011. View at Google Scholar · View at Scopus
  7. P. A. Sandborn, F. Mauro, and R. Knox, “A data mining based approach to electronic part obsolescence forecasting,” IEEE Transactions on Components and Packaging Technologies, vol. 30, no. 3, pp. 397–401, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. X. Wu, J. Chen, R. Li, W. Sun, G. Zhang, and F. Li, “Modeling a web-based remote monitoring and fault diagnosis system with UML and component technology,” Journal of Intelligent Information Systems, vol. 27, no. 1, pp. 5–19, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. G. Ma, K. Wu, T. Zhang, and C. Shuo, “A method of workflow model structure verification based on graph theory,” Journal of Convergence Information Technology, vol. 7, no. 17, pp. 350–356, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. R. C. Schank and R. P. Abelson, Scripts, Plans, Goals, and Understanding: An Inquiry into Human Knowledge Structures, Psychology Press, 2013.
  11. J. Kolodner, Case-Based Reasoning, Morgan Kaufmann Publishers, 1993.
  12. S. Hong and S. Zhao, “A novel substation fault diagnosis approach based on RS and ANN and ES,” in Proceedings of the International Conference on Communications, Circuits and Systems, pp. 2124–2127, Guilin, China, June 2006.
  13. W. R. A. Ibrahim and M. M. Morcos, “An adaptive fuzzy self-learning technique for prediction of abnormal operation of electrical systems,” IEEE Transactions on Power Delivery, vol. 21, no. 4, pp. 1770–1777, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Du, P.-C. Zhang, and W.-Y. Yu, “A substation fault diagnosis system based on case-based reasoning and rule-based reasoning,” Power System Technology, vol. 28, no. 1, pp. 34–37, 2004. View at Google Scholar · View at Scopus
  15. P. Cunningham, “A taxonomy of similarity mechanisms for case-based reasoning,” IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 11, pp. 1532–1543, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. K. Dexi and K. Rui, “A fast and effective kernel-based k-means clustering algorithm,” in Proceedings of the 3rd International Conference on Intelligent System Design and Engineering Applications, pp. 58–61, IEEE Computer Society, 2013.
  17. J. Liu, X. Han, W. Han, and L. Zhang, “Model and algorithm of customers' responsive behavior under time-of-use price,” Power System Technology, vol. 37, no. 10, pp. 2973–2978, 2013. View at Google Scholar · View at Scopus
  18. V. N. Vapnik, The Nature of Statistical Learning Theory, Springer, New York, NY, USA, 2000. View at Publisher · View at Google Scholar · View at MathSciNet
  19. G.-S. Wang, “Properties and construction methods of kernel in support vector machine,” Computer Science, vol. 33, no. 6, pp. 172–174, 178, 2006. View at Google Scholar
  20. B. Scholkopf and A. J. Smola, Learning with Kernel, Cambridge University Press, Cambridge, Mass, USA, 2000.
  21. G. Ma, K. Wu, T. Zhang, and W. Li, “A flexible policy-based access control model for workflow,” Przegląd Elektrotechniczny, vol. 88, no. 3, pp. 67–71, 2012. View at Google Scholar
  22. C.-X. Sun, W.-G. Chen, and J. Li, Electrical Equipment in Oil Gas Online Monitoring and Fault Diagnosis Technology, Science Press, Beijing, China, 2003.
  23. GBT7252-2001, Dissolved Gases in Transformer Oil Standard Guide for the Analysis and Diagnosis, General Administration of Quality Supervision, Inspection and Quarantine, 2002.
  24. H. Liao, “Oil chromatographic analysis and fault diagnosis for transformers,” High Voltage Engineering, vol. 32, no. 1, pp. 112–113, 2006. View at Google Scholar
  25. J. W. Grizzle, C. H. Moog, and C. Chevallereau, “Nonlinear control of mechanical systems with an unactuated cyclic variable,” IEEE Transactions on Automatic Control, vol. 50, no. 5, pp. 559–576, 2005. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus