基于信息熵的大坝多效应量聚类融合诊断模型

Multiple effect quantity fusion diagnosis model of dam health based on information entropy and cluster analysis

现有的单效应量监测模型在大坝健康融合诊断方面存在不足,有必要将大坝监测多效应量有机地联系起来建模。采用信息熵理论确定多效应量之间的权重,采用聚类分析方法描述多效应量之间的关联关系,采用极差检验法作为大坝健康状态的异常诊断准则,建立了基于信息熵理论的大坝健康状态多效应量聚类融合诊断模型,并给出一个工程实例,为实现大坝健康状态多效应量定量诊断、分析和评价提供一条新途径。

To overcome the shortcomings of the existing single effect quantity analysis method in fusion diagnosis of dam health, a new model that closely relates multiple effect quantities is developed in this paper. This model uses information entropy to determine the weight of effect quantity, describes the relation of multiple effect quantities with cluster analysis method, and adopts range test as diagnosis criteria of dam health status. A real project test case is given. The diagnosis model developed in the present study provides a new approach to quantitative diagnosis of multiple effect quantity and evaluation of dam health status.