Data Mining For Lifetime Prediction of Metallic Components

The ability to accurately predict the lifetime of building components is crucial to optimizing building design, material selection and scheduling of required maintenance. This paper discusses a number of possible data mining methods that can be applied to do the lifetime prediction of metallic components and how different sources of service life information could be integrated to form the basis of the lifetime prediction model.

[1]  W. Kessler,et al.  Improved prediction of the corrosion behaviour of car body steel using a Kohonen self organising map , 1994 .

[2]  Liao Hai-bo Bayesian Networks for Knowledge Discovery in Large Medical Data Set , 2008 .

[3]  J. R. Quinlan Learning With Continuous Classes , 1992 .

[4]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[5]  Michael Y. Hu,et al.  Forecasting with artificial neural networks: The state of the art , 1997 .

[6]  H. Furuta,et al.  Neural network analysis of structural damage due to corrosion , 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.

[7]  Hani G. Melhem,et al.  WRAPPER METHODS FOR INDUCTIVE LEARNING: EXAMPLE APPLICATION TO BRIDGE DECKS , 2003 .

[8]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[9]  Hani G. Melhem,et al.  PREDICTION OF REMAINING SERVICE LIFE OF BRIDGE DECKS USING MACHINE LEARNING , 2003 .

[10]  George Morcous,et al.  Case-Based Reasoning System for Modeling Infrastructure Deterioration , 2002 .

[11]  Chengqi Zhang,et al.  Domain-Driven Actionable Knowledge Discovery in the Real World , 2006, PAKDD.

[12]  Sigurdur Ólafsson Introduction to operations research and data mining , 2006, Comput. Oper. Res..

[13]  Andrés Gómez de Silva Garza,et al.  Case-Based Reasoning in Design , 1995, IEEE Expert.

[14]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[15]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[16]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery: An Overview , 1996, Advances in Knowledge Discovery and Data Mining.