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The query based learning system for lifetime prediction of metallic components

Ge, Esther (2008) The query based learning system for lifetime prediction of metallic components. Masters by Research thesis, Queensland University of Technology.

Abstract

This research project was a step forward in developing an efficient data mining method for estimating the service life of metallic components in Queensland school buildings. The developed method links together the different data sources of service life information and builds the model for a real situation when the users have information on limited inputs only. A practical lifetime prediction system was developed for the industry partners of this project including Queensland Department of Public Works and Queensland Department of Main Roads. The system provides high accuracy in practice where not all inputs are available for querying to the system.

Impact and interest:

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601 since deposited on 26 Feb 2009
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ID Code: 18345
Item Type: QUT Thesis (Masters by Research)
Supervisor: Nayak, Richi, Li, Yuefeng, & Xu, Yue
Keywords: data mining, learning system, predictive model, lifetime prediction, corrosion prediction, feature selection, civil engineering
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Institution: Queensland University of Technology
Deposited On: 26 Feb 2009 12:42
Last Modified: 29 Oct 2011 05:52

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