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Safety Monitoring of a Super-High Dam Using Optimal Kernel Partial Least Squares

机译：基于最优核偏最小二乘的超高坝安全监控

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摘要

Considering the characteristics of complex nonlinear and multiple response variables of a super-high dam, kernel partial least squares (KPLS) method, as a strongly nonlinearmultivariate analysismethod, is introduced into the field of damsafetymonitoring for the first time. A universal unified optimization algorithm is designed to select the key parameters of the KPLS method and obtain the optimal kernel partial least squares (OKPLS). Then, OKPLS is used to establish a strongly nonlinear multivariate safety monitoring model to identify the abnormal behavior of a super-high dam via model multivariate fusion diagnosis. An analysis of deformationmonitoring data of a super-high arch damwas undertaken as a case study. Compared to themultiple linear regression (MLR), partial least squares (PLS), and KPLS models, the OKPLS model displayed the best fitting accuracy and forecast precision, and the model multivariate fusion diagnosis reduced the number of false alarms compared to the traditional univariate diagnosis. Thus, OKPLS is a promising method in the application of super-high dam safety monitoring.
机译：考虑到超高坝的复杂非线性和多响应变量的特点，首次将核偏最小二乘（KPLS）方法作为强非线性多元分析方法，首次引入大坝安全监测领域。设计了一种通用的统一优化算法，以选择KPLS方法的关键参数并获得最佳内核偏最小二乘法（OKPLS）。然后，使用OKPLS建立强非线性多元安全监控模型，通过模型多元融合诊断来识别超高坝的异常行为。案例分析了某超高拱坝的变形监测数据。与多元线性回归（MLR），偏最小二乘（PLS）和KPLS模型相比，OKPLS模型显示出最佳的拟合精度和预测精度，并且与传统的单变量诊断相比，该模型的多元融合诊断减少了误报的数量。因此，OKPLS是超高坝安全监控应用中的一种有前途的方法。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第25期|571594.1-571594.13|共13页
  • 作者

    Huang Hao; Chen Bo; Liu Chungao;

  • 作者单位

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China|Hohai Univ, Natl Engn Res Ctr Water Resources Efficient Utili, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China|Hohai Univ, Natl Engn Res Ctr Water Resources Efficient Utili, Nanjing 210098, Jiangsu, Peoples R China;

    Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China|Hohai Univ, Natl Engn Res Ctr Water Resources Efficient Utili, Nanjing 210098, Jiangsu, Peoples R China;

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