摘要
水闸可视为一种由一系列构件组成的杆件系统,各构件之间具有明显的关联性。目前采用的单测点数学模型难以实现对水闸整体运行状态的预警。基于水闸多源监测数据,将因子分析法引入到水闸安全预警之中,通过重构能描述多测点效应量共性特征的公共因子,充分利用多测点效应量之间的关联信息,实现对水闸健康状态的综合诊断和预测预警,从而为水闸健康诊断和安全预警提供一条新思路。
A sluice can be regarded as a rod system composed of different components with obvious correlation. The early-warning of the overall operation state of sluices is difficult to realize with the single-point early-warning mathematical model. Thus, the factor analysis method is introduced into the sluice safety warning. Based on the multi-source monitoring data, common factors that can describe the common features of the multi-point effect quantities are reconstructed to make the best use of the correlation information between these effect quantities. Thus, the comprehensive diagnosis and early-warning of the sluice health status can be achieved. It could be an inspiring idea for the health diagnosis and safety warning of sluices.
作者
施玉群
韩子龙
杨海云
何金平
SHI Yuqun;HAN Zilong;YANG Haiyun;HE Jinping(School of Water Resources and Hydropower Engineering,Wuhan University,Wuhan 430072,China;China Electric Power Research Institute,Beijing 100192,China;State Grid Fujian Electric Power Research Institute,Fuzhou 350007,China)
出处
《水电与新能源》
2018年第11期57-61,共5页
Hydropower and New Energy
基金
广东省水利科技创新项目(2016-06)
国网福建省电力有限公司科技项目(52130417000M)
关键词
水闸
健康诊断
因子分析法
公共因子
预警指标
sluice
health diagnosis
factor analysis method
early-warning indicators
