Data mining for lifetime prediction of metallic components

Ge, Esther and Li, Yuefeng and Nayak, Richi and Xu, Yue (2006) Data mining for lifetime prediction of metallic components. [Conference Paper]

Abstract

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

Additional Information

Item Type: Conference Paper
Collection: CRC for Construction Innovation
Keywords: Data Mining, Metallic Components; CRC for Construction Innovation; Program B : Sustainable Built Assets; Project 2005-003-B : Learning System for Life Prediction of Infrastructure
Date Deposited: 11 Mar 2014 03:15
Last Modified: 11 Mar 2014 03:20
Copyright Owner: Copyright 2006 Icon.Net Pty Ltd
Copyright Statement: The Participants of the CRC for Construction Innovation have delegated authority to the CEO of the CRC to give Participants permission to publish material created by the CRC for Construction Innovation. This delegation is contained in Clause 30 of the Agreement for the Establishment and Operation of the Cooperative Research Centre for Construction Innovation. The CEO of the CRC for Construction Innovation gives permission to the Queensland University of Technology to publish the papers/publications provided in the collection in QUT ePrints provided that the publications are published in full. Icon.Net Pty Ltd retains copyright to the publications. Any other usage is prohibited without the express permission of the CEO of the CRC. The CRC warrants that Icon.Net Pty Ltd holds copyright to all papers/reports/publications produced by the CRC for Construction Innovation.
URI: https://digitalcollections.qut.edu.au//id/eprint/1768
Share:
Admin: item control page [repository staff only]