基于PLSR的静态灰色模型在大坝安全监控中的应用

Application of static gray model based on PLSR into dam safety monitoring

本文将偏最小二乘回归运用到静态灰色模型中,消除了因子间多重共线性的影响,建立了一种新型的大坝安全监控模型,并对黑河水库的应变资料进行了分析。研究分析表明,基于偏最小二乘回归的静态灰色模型优于传统的静态灰色模型,这为大坝安全监控提供了一种新的思路和研究方法。

This article applied the partial least-squares regression theory to static gray model, eliminated the bad impact of serious multicollinearity among factors, established a new dam safety monitoring model, and analyzed strain data of Heihe reservoir. The research analysis indicated that static gray model based on partial least-squares regression was superior to traditional static gray model, and this article provided a new idea and research method for dam safety monitoring.