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Selecting meaningful predictor variables: A case study with bridge monitoring data

1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.

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Bibliographic Details
Main Authors: Tan, Vinh Trana, Man, Nguyen
Other Authors: vinhtantran@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
Subjects:
Bridge health monitoring
Dimensionality reduction
Principal components analysis
Cross-validation
Canonical correlations analysis
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10333
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spelling my.unimap-103332010-11-28T02:47:47Z Selecting meaningful predictor variables: A case study with bridge monitoring data Tan, Vinh Trana Man, Nguyen vinhtantran@gmail.com mnguyen@cse.hcmut.edu.vn Bridge health monitoring Dimensionality reduction Principal components analysis Cross-validation Canonical correlations analysis Regional Conference on Applied and Engineering Mathematics (RCAEM) 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang. Bridge Health Monitoring (BHM) is an important problem in many countries, including Viet Nam. Therefore, there have been many proposed mechanical, mathematical, statistical, etc. methods created to solve this problem. In BHM process, one important step is to reduce and extract important information from realistic datasets obtained from bridge monitoring. Our contribution in this study is on reduction of variables measured on the bridge using the Principal components analysis (PCA), in coupling with some additional methods. Specifically, after achieving a new dataset having new uncorrelated variables using PCA, this study uses the idea of cross-validation to point out some first few components enough to be able to reconstruct the original data with appropriate information (variance). Finally, for the purpose of variable reduction, the Canonical correlations analysis is used to decide which subset of the original dataset keeps the most information. To validate the new method in practical usage, this study uses Sai Gon Bridge's vibration measure data created by Laboratory of Applied Mechanics, Ho Chi Minh city University of Technology, implementing it in statistical programming environment R and a small Java application to allow users to interact and see the results graphically. 2010-11-28T02:47:47Z 2010-11-28T02:47:47Z 2010-06-02 Working Paper Vol.4(15), p.430-435 http://hdl.handle.net/123456789/10333 en Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 Universiti Malaysia Perlis (UniMAP) Institut Matematik Kejuruteraan
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bridge health monitoring
Dimensionality reduction
Principal components analysis
Cross-validation
Canonical correlations analysis
Regional Conference on Applied and Engineering Mathematics (RCAEM)
spellingShingle Bridge health monitoring
Dimensionality reduction
Principal components analysis
Cross-validation
Canonical correlations analysis
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Tan, Vinh Trana
Man, Nguyen
Selecting meaningful predictor variables: A case study with bridge monitoring data
description 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.
author2 vinhtantran@gmail.com
author_facet vinhtantran@gmail.com
Tan, Vinh Trana
Man, Nguyen
format Working Paper
author Tan, Vinh Trana
Man, Nguyen
author_sort Tan, Vinh Trana
title Selecting meaningful predictor variables: A case study with bridge monitoring data
title_short Selecting meaningful predictor variables: A case study with bridge monitoring data
title_full Selecting meaningful predictor variables: A case study with bridge monitoring data
title_fullStr Selecting meaningful predictor variables: A case study with bridge monitoring data
title_full_unstemmed Selecting meaningful predictor variables: A case study with bridge monitoring data
title_sort selecting meaningful predictor variables: a case study with bridge monitoring data
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10333
_version_ 1643789813818589184
score 13.211869

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