子空间拓扑
计算机科学
费希尔信息
可用性(结构)
高斯分布
特征(语言学)
灵敏度(控制系统)
算法
结构健康监测
有限元法
结构工程
工程类
人工智能
电子工程
机器学习
语言学
哲学
物理
量子力学
作者
Alexander Mendler,Michael Döhler,Carlos E. Ventura
标识
DOI:10.1016/j.ymssp.2021.108767
摘要
Damage diagnosis based on global structural vibrations critically depends on the sensor layout, in particular when a small number of sensors is used for large structures under unknown excitation. This paper proposes a sensor placement strategy that yields an optimized sensor layout with maximum damage detectability in selected structural components. The optimization criterion is based on the Fisher information, which quantifies the information that the damage-sensitive feature carries on the design parameters of structural components, such as material constants or cross-sectional values. It is evaluated using a finite element model, and considers the statistical uncertainties of the damage-sensitive feature. The methodology is shown for the stochastic subspace-based damage detection method, but can be applied to any damage-sensitive feature whose distribution can be approximated as Gaussian. It is suitable to find the optimal layout for a fixed number of sensors and to choose an appropriate number of sensors. Since the Fisher information is defined component-wise, the sensor layout can be tuned to become more sensitive to damage in local structural components, such as damage hotspots, non-inspectable components, or components that are critical for the safety and serviceability of the structure. For proof of concept, the sensor layout on a laboratory beam is optimized based on numerical simulations, and it is showcased that the optimal sensor layout leads to the highest damage detectability for experimental data.
科研通智能强力驱动
Strongly Powered by AbleSci AI