Skip to main content
SpringerLink
Log in

Multivariate analysis in dam monitoring data with PCA

  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

Given the limitation of traditional univariate analysis method in processing the multicollinearity of dam monitoring data, this paper reconstructs the multivariate response variables by introducing principal component analysis (PCA) method, explores the ways of determining principal components (PCs), and extracts a few PCs that have major influence on data variance. For steady observation series, a control field for the whole observation values has been established based upon PCA; for unsteady observation series that have significant tendency, a control field for the future observation values has been constructed according to PC statistical predication model. These methods have already been applied to an actual project and the results showed that data interpretation method with PCA can not only realize data reduction, lower data redundancy, and reduce noise and false alarm rate, but also be effective to data analysis, having a broad application prospect.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. National Research Council. Safety of Existing Dams Evaluation and Improvement. Washington D.C.: National Academy Press, 1983. 4–40

    Google Scholar 

  2. SDJ336-89. Concrete Dam Safety Monitoring Specifications (in Chinese). Department of Energy and Water of the People’s Republic of China, 1990. 1255–1256

  3. Dibiagio E. Monitoring of dams and their foundations. 20th International Commission on Large Dams. Beijing: ICOLD, 2000

    Google Scholar 

  4. Ren R E, Wang H W. Multivariate Statistical Data Analysis-Theory, Methods, Examples (in Chinese). Beijing: National Defense Industry Press, 1997. 92

    Google Scholar 

  5. Behrouz A N. Multivariate Statistical Analysis of Monitoring Data for Concrete Dams. Dissertation of Doctoral Degree. Canada Montreal: McGill University, 2002. 97–102

    Google Scholar 

  6. Li X H, Xu H Z, Gu C S, et al. Application of principal component fuzzy neural network model to analysis of observation data of dams (in Chinese). Dam Obs Geotech Test, 2001. 14–16

  7. Liu C D. Analysis Method of Multi-Factor Weightings of Dam Safety Evaluation and its Application (in Chinese). Nanjing: Hohai University, 2004. 20–22

    Google Scholar 

  8. Chen L. Mechanics performance with parameters changing in space & monitoring models of roller compacted concrete dam (in Chinese). Dissertation of Masteral Degree. Nanjing: Hohai University, 2006. 74–76

    Google Scholar 

  9. Rencher A C. Multivariate Statistical Inference and Applications. New York: John Wiley & Sons, 1998. 119–126

    MATH  Google Scholar 

  10. Martens H, Nase T. Multivariate Calibration. New York: John Wiley & Sons, 1989. 141–142

    MATH  Google Scholar 

  11. Bonelli S, Royet P. Delayed response analysis of dam monitoring data. Dams in a European Context, Swets and Zeitlinger, Lisse, 2001. 91–99

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China

    Hong Yu, ZhongRu Wu, TengFei Bao & Lan Zhang

  2. National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing, 210098, China

    Hong Yu, ZhongRu Wu, TengFei Bao & Lan Zhang

Authors
  1. Hong Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. ZhongRu Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. TengFei Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hong Yu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, H., Wu, Z., Bao, T. et al. Multivariate analysis in dam monitoring data with PCA. Sci. China Technol. Sci. 53, 1088–1097 (2010). https://doi.org/10.1007/s11431-010-0060-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-010-0060-1

Keywords

Search

Navigation