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| 结构监测系统中传感器故障判别方法 | |
| 引用本文： | 朱晓文,李爱群,赵启林,张宇峰.结构监测系统中传感器故障判别方法[J].东南大学学报(自然科学版),2007,37(2):315-319. |
| 作者姓名： | 朱晓文 李爱群 赵启林 张宇峰 |
| 作者单位： | 1. 江苏省交通科学研究院,南京,210017 2. 东南大学土木工程学院,南京,210096 3. 解放军理工大学工程兵工程学院,南京,210007 |
| 基金项目： | 江苏省交通科学研究计划，江苏省交通厅科研项目 |
| 摘 要： | 为了解决结构监测过程中,对传感器故障所引起异常测值难以准确识别的问题,基于灰色理论和模糊聚类方法提出了判别异常测值出现成因的方法,其原理是通过分析测值序列之间的相互联系来判断监测系统中传感器是否出现故障,通过构造灰色绝对关联度矩阵并将其作为模糊关系矩阵进行聚类分析.分析结果表明,当异常测值序列与其他测值序列的关联度有明显降低时,可初步判定该异常是由传感器故障引起.最后通过对润扬大桥北锚碇基底孔隙水压力测值的分析说明该方法可有效应用于实际工程. |
| 关 键 词： | 监测 测值 异常监测数据 误差 关联度 模糊聚类 |
| 文章编号： | 1001-0505（2007）02-0315-05 |
| 修稿时间： | 2006-11-02 |
Estimate methods for thundering observed data caused by fault of monitoring system |
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| Zhu Xiaowen,Li Aiqun,Zhao Qilin,Zhang Yufeng.Estimate methods for thundering observed data caused by fault of monitoring system[J].Journal of Southeast University(Natural Science Edition),2007,37(2):315-319. | |
| Authors: | Zhu Xiaowen Li Aiqun Zhao Qilin Zhang Yufeng |
| Institution: | 1.Jiangsu Transportation Research Institute, Nanjing 210017, China;2.School of Civil Engineering, Southeast University, Nanjing 210096, China;3.Engineeering Institute of Engineering Corps, PLA University of Science and Technology, Nanjing 210007,China |
| Abstract: | Thundering observed data acquired by structure monitoring system may be caused by fault of the monitoring system,and it is difficult to identify.Based on grey theory,a fuzzy cluster method is put forward to solve this problem. The principle of the method is that the probability of the fault of monitoring system can be evaluated by analyzing the relation degree between observed data series.A grey absolute correlative degree matrix is suggested to be used as fuzzy relationship matrix in fuzzy cluster analysis.The results show that if the relation degree between thundering observed data series and other observed data series decreases dramatically,the probability of structure damage can be considered to be very small.Finally,the analysis of observed data on RunYang Bridge's north anchorage foundation is provided to illustrate the validity of the proposed method in practical engineering. |
| Keywords: | monitoring observed data thundering observed data error relation degree fuzzy cluster |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |