Data Mining For Lifetime Prediction of Metallic Components

Ge, E., Nayak, R., Xu, Y. and Li, Y.

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.

Cite as: Ge, E., Nayak, R., Xu, Y. and Li, Y. (2006). Data Mining For Lifetime Prediction of Metallic Components. In Proc. Fifth Australasian Data Mining Conference (AusDM2006), Sydney, Australia. CRPIT, 61. Peter, C., Kennedy, P. J., Li, J., Simoff, S. J. and Williams, G. J., Eds. ACS. 75-81.

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