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Condition-based Maintenance with Multi-Target Classification Models

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Abstract

Condition-based maintenance (CBM) recommends maintenance actions based on the information collected through condition monitoring. In many modern cars, the condition of each subsystem can be monitored by onboard vehicle telematics systems. Prognostics is an important aspect in a CBM program as it deals with prediction of future faults. In this paper, we present a data mining approach to prognosis of vehicle failures. A multitarget probability estimation algorithm (M-IFN) is applied to an integrated database of sensor measurements and warranty claims with the purpose of predicting the probability and the timing of a failure in a given subsystem. The results of the multi-target algorithm are shown to be superior to a singletarget probability estimation algorithm (IFN) and reliability modeling based on Weibull analysis.

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References

  1. Benedettini, O., Baines, T., Lightfoot, H. and Greenough, R., “State-of-theart in integrated vehicle health management,” in Proc. of the Institution of Mechanical Engineers: Part G Journal of Aerospace Engineering, 223(G2), pp. 157–170, 2009.

  2. Bey-Temsamani, A., Engels, M., Motten, A., Vandenplas, S., Ompusunggu, A. P, “A Practical Approach to Combine Data Mining and Prognostics for Improved Predictive Maintenance,” in The Data Mining Case Studies Workshop (DMCS), 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2009), pp. 37–44, 2009.

  3. Bryant, R. E., “Graph-Based Algorithms for Boolean Function Manipulation,” IEEE Transactions on Computers, C-35-8, pp. 677–691, 1986.

  4. Caruana R.: "Multitask Learning,". Machine Learning 28, 41–75 (1997)

    Article  Google Scholar 

  5. Ducange P., Lazzerini B., Marcelloni F.: “Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets,”. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 14(7), 713–728 (2010)

    Google Scholar 

  6. Fawcett T.: "An introduction to ROC analysis,". Pattern Recogn. Lett. 27(8), 861–874 (2006)

    Article  MathSciNet  Google Scholar 

  7. Fayyad, U. and Irani, K., “Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning,” in Proc. Thirteenth Int’l Joint Conference on Artificial Intelligence, pp. 1022–1027, 1993.

  8. Grabert, M., Prechtel, M., Hrycej, T. and Gnther, W., “An Early Warning System for Vehicle Related Quality Data,” in Advances in Data Mining, LNCS 3275, Springer-Verlag, pp. 691–703, 2005

  9. Gusikhin O., Rychtyckyj N., Filev D.: "Intelligent systems in the automotive industry: applications and trends,". Knowl. Inf. Syst. 12(2), 147–168 (2007)

    Article  Google Scholar 

  10. Jardine A.K.S., Lin D., Banjevic D.: “A review on machinery diagnostics and prognostics implementing condition-based maintenance,”. Mechanical Systems and Signal Processing, 20, 1483–1510 (2006)

    Article  Google Scholar 

  11. Kohavi, R. and Li, C-H., “Oblivious Decision Trees, Graphs, and Top-Down Pruning,” in Proc. of International Joint Conference on Artificial Intelligence (IJCAI), pp. 1071–1077, 1995.

  12. Last, M., “Multi-Objective Classification with Info-Fuzzy Networks,” in Proc.of the 15th European Conference on Machine Learning (ECML 2004), LNAI 3201, Springer-Verlag, pp. 239–249, 2004.

  13. Last M., Danon G., Biderman Sh., Miron E.: “Optimizing a Batch Manufacturing Process through Interpretable Data Mining Models,”. Journal of Intelligent Manufacturing, 20(5), 523–534 (2009)

    Article  Google Scholar 

  14. Last, M., Elnekave, S., Naor, A. and Shonfeld, V., “Predicting Wine Quality from Agricultural Data with Single-Objective and Multi-Objective Data Mining Algorithms,” in Recent Advances on Mining of Enterprise Data: Algorithms and Applications (Liao, T. W. and Triantaphyllou, E. eds.), World Scientific, Series on Computers and Operations Research, 6, pp. 323–365, 2007.

  15. Last M., Maimon O.: “A Compact and Accurate Model for Classification,”. IEEE Transactions on Knowledge and Data Engineering, 16(2), 203–215 (2004)

    Article  Google Scholar 

  16. Quinlan, J. R., C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.

  17. Rao, C. R. and Toutenburg, H., Linear Models: Least Squares and Alternatives, Springer-Verlag, 1995.

  18. Schwall, M., Gerdes, J. C., Bäker, B., Forchert, T., “A probabilistic vehicle diagnostic system using multiple models,” in Proc. of the 15th Innovative Applications of Artificial Intelligence Conference (IAAI-03), pp 123–128, 2003.

  19. Suzuki, E., Gotoh, M. and Choki, Y., “Bloomy Decision Tree for Multi-objective Classification,” in PKDD 2001 (De Raedt, L. and Siebes, A. eds.), LNAI 2168, Springer-Verlag, Heidelberg, pp.436–447, 2001.

  20. Wu S., Gebraeel N., Lawley M., Yih Y.: “A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy,”. IEEE Transactions on Systems, Man and Cybernetics-Part A 37(2), 226–236 (2007)

    Article  Google Scholar 

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Authors and Affiliations

  1. Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel

    Mark Last & Alla Sinaiski

  2. India Science Lab, General Motors Global Research and Development, GM Technical Centre India Pvt Ltd., Creator Building, International Tech Park Ltd. Whitefield Road, Bangalore, 560 066, India

    Halasya Siva Subramania

Authors
  1. Mark Last
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  2. Alla Sinaiski
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  3. Halasya Siva Subramania
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Last, M., Sinaiski, A. & Subramania, H.S. Condition-based Maintenance with Multi-Target Classification Models. New Gener. Comput. 29, 245–260 (2011). https://doi.org/10.1007/s00354-010-0301-7

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  • DOI: https://doi.org/10.1007/s00354-010-0301-7

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