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Optimal Sensor Placement for Structural Health Monitoring of Power Transmission Tower-Line Systems

机译:电力传输塔线系统结构健康监测的最佳传感器放置

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This paper presents a numerical pre-test finite element modeling and optimal sensor placement study for power transmission structures. The number, geometry, repetition and importance of such structures require easier, quicker and cheaper monitoring methods. Vibration-based health monitoring methods determine the modal characteristics of the structure via a limited number of sensors. These characteristics are intrinsic properties, so that a variation in them may be induced by structural damage. Only a limited number of degrees-of-freedom can be measured for the system identification process. By developing a finite element model for the tower-line structure, these degrees-of-freedom can be identified. Prior to any modal analysis, a geometrically non-linear static analysis of the structure is required. Based on these results, two methods are employed to determine the optimal sensor number and locations. Both are formulated with the use of the modal properties of the structure model. The first scheme maximizes the independence of the target modal shape matrix in an iterative process, where those degrees-of-freedom that do not contribute to the independence of the target modes are eliminated. The second scheme is based on a mass-weighting of the previous one. Correlation results are developed between the tower and the tower-line structures in order to verify the influence of the lines in the modal characteristics. In order to simulate experimental measuring, modal properties are altered by adding Gaussian noise which determines the effect on the number and location of the sensors. It is concluded that employing the tower-line system is more accurate than considering only the tower structure; and the result of sensor placement is improved for structural health monitoring purposes.
机译:本文介绍了动力传动结构的数值预测有限元建模和最优传感器放置研究。这些结构的数量,几何,重复和重复性,需要更容易,更快和更便宜的监控方法。基于振动的健康监测方法通过有限数量的传感器确定结构的模态特性。这些特征是内在特性,因此它们可以通过结构损伤引起它们的变化。只能测量系统识别过程的有限数量的自由度。通过开发用于塔线结构的有限元模型,可以识别这些自由度。在任何模态分析之前,需要对结构的几何非线性静态分析。基于这些结果,采用两种方法来确定最佳传感器数和位置。两者都配制了使用结构模型的模态性能。第一方案最大化目标模态形状矩阵在迭代过程中的独立性,其中消除了对目标模式的独立性没有贡献的那些自由度。第二种方案基于前一个的大规模加权。相关结果是在塔架和塔式线结构之间开发的,以验证线路在模态特性中的影响。为了模拟实验测量,通过添加高斯噪声来改变模态性质,该噪音决定了对传感器的数量和位置的影响。结论是,采用塔线系统比仅考虑塔结构更准确;传感器放置的结果得到改善了结构健康监测目的。

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