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Geometric approach to nondestructive identification of faults in stochastic structural systems

机译:随机结构系统中断层的无损识别的几何方法

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摘要

A novel geometric approach to the nondestructive identification of faults in stochastic structural systems, based on vibration test data, is introduced. The approach uses a partial and reduced-order dynamic system model, a properly selected stochastic feature space, the notion of fault mode as the union of all faults of one particular cause, and its approximate geometric representation as subspace of the feature space. Fault identification is accom- plished by determining the fault mode subspace within which the current fault lies.
机译:提出了一种基于振动测试数据的几何结构随机无损识别的几何方法。该方法使用部分降阶动态系统模型,适当选择的随机特征空间,将故障模式的概念视为一个特定原因的所有故障的并集,并将其近似几何表示作为特征空间的子空间。通过确定当前故障所在的故障模式子空间,可以完成故障识别。

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