摘要
以安全监测资料为核心的水闸健康诊断，是一个充满不确定性、具有多层次和多指标特性的综合诊断问题，现有的水闸安全评估方法对监测资料的利用不充分，对监测信息不确定性的认识不足．基于专门研究复合不确定性问题的云模型，将多测点、多效应量监测资料有机地联系起来，通过研究监测信息与水闸健康状态之间的不确定性映射关系，建立水闸健康状态云诊断模型．实例分析表明，云诊断模型在诊断过程上能更有效地描述影响水闸健康状态的不确定性因素，在诊断结果上能更合理地反映水闸的实际健康状态．
The health diagnosis of the sluice, taking the safety monitoring data as the core, is a comprehensive diagnosis problem with multi-level and multi-index characteristics, full of uncertainty. The use of monitoring data in the existing sluice safety evaluation methods is not sufficient; and the understanding of monitoring information and uncertainty is lacking. Based on the cloud model which specializes in the study of compound uncertainties, the multi-measure and multi-effect monitoring data are organically linked, through uncertainty mapping research between monitoring information and sluice health state, health diagnosis model based on cloud model is established. The case study shows that the cloud diagnosis model can more effectively describe the uncertainty factors affecting the health status of the sluice, and can reflect the actual health status more reasonably in the diagnosis results.
作者
何金平
赖昀
葛世民
赵国清
王伟章
HE Jinping;LAI Yun;GE Shimin;ZHAO Guoqing;WANG Weizhang(School of Water Resources and Hydropower,Wuhan University,Wuhan 430072,China;Chaozhou Water Supply Project Management Office in Guangdong,Chaozhou 521011,China)
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2018年第11期950-956,共7页
Engineering Journal of Wuhan University
基金
广东省水利科技创新项目(编号:2016-06)
国家自然科学基金项目(编号:51379162)
关键词
水闸
健康诊断
云模型
不确定性
诊断云
状态云
sluice
health diagnosis
cloud model
uncertainty
diagnostic cloud
state cloud
作者简介
何金平（1964-），男，教授，主要从事大坝安全监控与健康诊断研究，E-mail：whuhip@163．com．
