摘要: 针对大型桥梁故障诊断问题,提出一种新型高效的诊断算法。该算法将一座桥梁系统看成由大量的“团”组成,每个“团”由一个挠度检测点及其相应的传感器构成,具体分3个阶段进行:(1)受到“挠度共振”的启发,根据线性回归预测理论建立一个测试模型;(2)利用测试模型对所有“团”进行测试;(3)在测试基础上进行综合分析得出检测结果。对真实桥梁进行检测实验,结果表明该方法故障检测率达81.8%。
关键词:
桥梁系统,
健康检测,
挠度共振,
线性回归,
异常“团”
Abstract: In order to solve the problem of large-scale bridge fault diagnosis, this paper proposes a new efficient algorithm. It addresses the issue of identifying abnormal cliques on bridges, where each clique is composed of a deflection checkpoint and the dedicated sensor. The detection method consists of three stages. First, inspired by “deflection resonance” between different checkpoints, a test pattern is created based on the theory of regression. Second, a set of tests on cliques are conducted based on the established test pattern, and the test outcomes are collected to form a syndrome. Finally, a detection result is achieved based on the syndrome. The proposed method is then applied to the detection of a real-life bridge, and result shows the detection rate reaches 81.8%.
Key words:
bridge system,
health detection,
deflection resonance,
linear regression,
abnormal clique
中图分类号:
李静, 杨小帆, 孙启干. 一种新型的桥梁健康检测算法[J]. 计算机工程, 2011, 37(6): 234-236.
LI Jing, YANG Xiao-Fan, SUN Qi-An. New Bridge Health Detection Algorithm[J]. Computer Engineering, 2011, 37(6): 234-236.