Abstract: 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 newidea and research method for damsafetymonitoring.

摘要： 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。