dam ›› 2015, Vol. 0 ›› Issue (4): 1-.

    Next Articles

The relation between information entropy theory and dam health diagnosis

HE Jin-ping   

  1. College of Water Resources and Hydropower, Wuhan University
  • Received:2014-11-27 Revised:2015-01-30 Online:2015-08-08 Published:2015-08-08

信息熵理论与大坝健康诊断

何金平1,2   

  1. 1.武汉大学水利水电学院,湖北 武汉,430072;2.武汉大学水资源与水电工程科学国家重点实验室,湖北 武汉,430072
  • 作者简介:何金平(1964- ),男,湖北罗田人,教授,博士生导师,主要从事大坝安全监控与健康诊断研究。
  • 基金资助:
    国家自然科学基金项目51379162,51079114

Abstract: Dam health diagnosis is a complicated nonlinear problem with a variety of uncertainty, and it is difficult to describe the uncertainty by the existing health diagnosis methods. Based on connotation analysis of the uncertainty in monitoring information, the information entropy, which is a specialized theory for uncertainty problems, is introduced to research dam health diagnosis. And some new ideas are provided, such as, the index weight (entropy weight) of dam safety comprehensive evaluation can be determined by the basic concept of entropy, the abnormal situation contained in the monitoring information can be recognized by the concept of mutual information, and the composite uncertainty problems in dam health diagnosis can be studied by the concept of fuzzy entropy.

Key words: dam, monitoring, health diagnosis, uncertainty, information entropy

摘要: 大坝健康诊断是一个充满不确定性的复杂非线性问题,已有的健康诊断方法难以描述其中的不确定性。针对监测信息中存在的不确定性,在分析了监测信息不确定性内涵的基础上,将专门研究不确定性问题的信息熵理论引入到大坝健康诊断之中,利用熵的基本概念确定大坝安全综合评价中的指标权重(熵权),利用互信息概念识别和挖掘大坝监测信息中蕴含的异常状况,利用模糊熵概念研究大坝健康诊断中的复合不确定性问题,从而为大坝健康诊断提供一些新的研究思路。

关键词: 大坝, 监测, 健康诊断, 不确定性, 信息熵