Principal components in multivariate control charts applied to data instrumentation of DAMS
Main Article Content
Abstract
Downloads
Article Details
1. Proposal of Policy for Free Access Periodics
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 that allows the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in an institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
Proposal of Policy for Periodic that offer Postponed Free Access
Authors whom publish in this magazine should agree to the following terms:
a. Authors should keep the copyrights and grant to the magazine the right of the first publication, with the work simultaneously permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 [SPECIFY TIME HERE] after the publication, allowing the sharing of the work with recognition of the authorship of the work and initial publication in this magazine.
b. Authors should have authorization for assuming additional contracts separately, for non-exclusive distribution of the version of the work published in this magazine (e.g.: to publish in institutional repository or as book chapter), with recognition of authorship and initial publication in this magazine.
c. Authors should have permission and should be stimulated to publish and to distribute its work online (e.g.: in institutional repositories or its personal page) to any point before or during the publishing process, since this can generate productive alterations, as well as increasing the impact and the citation of the published work (See The Effect of Free Access).
d. They allow some kind of open dissemination. Authors can disseminate their articles in open access, but with specific conditions imposed by the editor that are related to:
Version of the article that can be deposited in the repository:
Pre-print: before being reviewed by pairs.
Post-print: once reviewed by pairs, which can be:
The version of the author that has been accepted for publication.
The editor's version, that is, the article published in the magazine.
At which point the article can be made accessible in an open manner: before it is published in the magazine, immediately afterwards or if a period of seizure is required, which can range from six months to several years.
Where to leave open: on the author's personal web page, only departmental websites, the repository of the institution, the file of the research funding agency, among others.
References
BERSIMIS, S.; PSARAKIS, S.; PANARETOS, J. (2007) Multivariate statistical process control charts: an overview, Quality and Reliability engineering international, v. 23, p. 517-543, doi:10.1002/qre.829.
BOX, G. E. P.; JENKINS, G. M.; REINSEL, G. C. (2008) Time-series analysis - forecasting and control, 4ª ed., Hoboken, New Jersey: John Wiley & Sons, Inc.
CHENG, L.; ZHENG, D. (2013) Two online dam safety monitoring models based on the process of extracting environmental effect, Advances in Engineering Software, v. 57,p. 48-56, doi:10.1016/j.advengsoft.2012.11.015.
CHOU, Y. M.; MASON, R. L.; YOUNG, J. C. (1999) Power comparisons for a Hotelling's T2 statistic, Commun. Statist. Simulation Comput., v. 28, p. 1031-1050, doi:10.1080/03610919908813591.
GAZETA DO POVO (2014) Gazeta do Povo, 08 Maio, [Online], Available: HYPERLINK www.gazetadopovo.com.br/economia/especial-itaipu-30-anos/conteudo.phtml?tl=1&id=1466225&tit=Gigante-pela-propria-natureza [08 Maio 2014].
GLOBO (2014) G1 Globo, [Online], Available: HYPERLINK www.g1.globo.com/pr/oeste-sudoeste/noticia/2014/05/seria-inimaginavel-o-paraguai-e-o-brasil-sem-itaipu-diz-diretor-geral.html [08 maio 2014].
GU, C. S.; ZHAO, E. F.; JIN, Y.; SU, H. Z. (2011) Singular value diagnosis in dam safety monitoring effect values, Sciencie China Technological Sciences, v. 54, n. 5, May, p. 1169-1176, doi 10.1007/s11431-011-4339-7.
HOLMES, D. S.; MERGEN, A. E. (1993) Improving the performance of the T2 control chart, Quality Engineering, v. 5, n. 4, March, p. 619-625, DOI:10.1080/08982119308919004.
HOTELLING, H. (1947) Multivariate quality control, Techniques of statistical analysis, p. 111-184.
ITAIPU BINACIONAL (1999) Estudos para a reavaliação dos valores de controle para a instrumentação civil das estruturas e fundações (2660.50.15402.P), Foz do Iguaçu.
ITAIPU BINACIONAL (1999) Estudos para a reavaliação dos valores limites para a instrumentação civil das estruturas e fundações (2662.50.15401-P), Foz do Iguaçu.
JACKSON, J. E. (1991) A user's guide to principal components, New York: John Wiley & Sons, Inc.
JOHNSON, R. A.; WICHERN, D. W. (2007) Applied Multivariate Statistical Analysis, 6th. ed., Upper Saddle River - NJ: Pearson Prentice Hall.
JORNAL INTERNO DE ITAIPU (2014) JIE, 08 maio, [Online], Available: HYPERLINK jie.itaipu.gov.br/index.php?secao=noticias_itaipu&q=node/6&pagina=4 [08 maio 2014].
KOURTI, T. (2005) Application of latent variable methods to process control and multivariate statistical process control in industry, International Journal of adaptive control and signal processing, v. 19, p. 213-246, doi: 10.1002/acs.859.
KRUGER, U.; XIE, L. (2012) Statistical monitoring of complex multivariate process with applications in industrial process control, Chichester: John Wiley & Sons.
LOH, C. H.; CHEN, C. H.; HSU, T. Y. (2011) Application of advanced statistical methods for extracting long-term trends in static monitoring data from an arch dam, Structural Health Monitoring, v. 10, n. 6, November, p. 587-601, doi: 10.1177/1475921710395807.
MASON, R. L.; YOUNG, J. C. (2002) Multivariate statistical process control with industrial applications, Philadelphia - Pennsylvania: ASA SIAM - American statistical Association - Society for industrial and applied mathematics.
MINGOTI, S. A. (2005) Análise de dados através de métodos de estatística multivariada: uma abordagem aplicada, Belo Horizonte: UFMG.
MONTGOMERY, D. C. (2013) Introdução ao Controle Estatístico de Qualidade, 4th edition, Rio de Janeiro: LTC.
MUDHOLKAR, G. S.; JACKSON, J. E. (1979) Control procedures for residual associated with principal components analysis., Technometrics, v. 21, n.3, August, p. 341-349.
MUJICA, L. E.; RODELLAR, J.; FERNÁNDEZ, A.; GUEMES, A. (2011) Q-statistic and T2 statistic PCA-based measures for damage assessment in structures, Structural Health Monitoring, v. 10, n. 5, September, p. 539-553, doi: 10.1177/1475921710388972.
NEDUSHAN, B. A. (2002) Multivariate statistical analysis of monitoring data for concrete dams, Montreal: PhD Thesis, McGill University - Department of Civil Engineering and Apllied Mechanics.
ROSSO, J. A.; FIORINI, A. S.; PORTO, E. C.; SILVEIRA, J. F. (1995) Barragem de Itaipu - Lições aprendidas com o comportamento térmico das estruturas tipo gravidade aliviada e contraforte, XXII Seminário Nacional de Grandes Barragens, São Paulo.
RYAN, T. P. (2011) Statistical Methods for Quality Improvement, John Wiley & Sons.
USACE, UNITED STATES ARMY CORPS OF ENGINEERS (1995) Enginnering and Design - Instrumentation of Embankment Dams and Levees, Washington, DC.
XXIII INTERNATIONAL COMITEE OF LARGE DAMS (2009) Hydropower current developments - Question 88, Dams and Hydropower, Brasília, 6-8.
XXIII INTERNATIONAL COMITEE OF LARGE DAMS (2009) Question 90, Upgrading of existing dam, Brasília, 7.
YU, H.; WU, Z. R.; BAO, T. F.;ZHANG, L. (2010) Multivariate analysis in dam monitoring data with PCA, Sciencie China Technological Sciences, v. 53, n. 4, April, p. 1088-1097, doi: 10.1007/s11431-010-0060-1.