In this paper, we propose a robust sensor placement methodology, which takes into consideration of possible sensor failure encountered in sensory systems. Although the optimal sensor placement problem has been studied for decades, previous works assumed a fully functioned sensory network. In real practice, sensor failure is commonly encountered, and this may seriously degrade the performance of the sensor network. The proposed method considers the impact of sensor failure on the performance of the sensor configurations so that the designed configuration is robust against sensor failure. For this purpose, we define the robust information entropy to quantify the uncertainty of the identified model parameters with consideration of sensor failure. Furthermore, we propose a tailor-made heuristic sequential search algorithm to enhance the computational efficiency. The proposed methodology is illustrated by designing the robust sensor configuration for a 20-story shear building and a space truss. Moreover, a case study using the in-field measurements of the Canton Tower is presented to demonstrate the performance of the proposal methodology.

中文翻译：

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用于结构识别的稳健传感器放置

在本文中，我们提出了一种稳健的传感器放置方法，该方法考虑了传感系统中可能遇到的传感器故障。尽管最佳传感器放置问题已经研究了几十年，但以前的工作假设了一个功能齐全的传感器网络。在实际实践中，传感器故障经常遇到，这可能会严重降低传感器网络的性能。所提出的方法考虑了传感器故障对传感器配置性能的影响，因此设计的配置对传感器故障具有鲁棒性。为此，我们定义了稳健的信息熵，以在考虑传感器故障的情况下量化识别模型参数的不确定性。此外，我们提出了一种量身定制的启发式顺序搜索算法来提高计算效率。通过为 20 层剪力建筑和空间桁架设计稳健的传感器配置来说明所提出的方法。此外，还介绍了使用广州塔现场测量的案例研究，以证明该提案方法的性能。