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Multivariate fusion of nondestructive inspection data for assessment of fatigue damage in steel components

机译:无损检测数据的多元融合,用于评估钢部件的疲劳损伤

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摘要

In this paper two electromagnetic methods, Barkhausen noise and AC magnetization process observation, were used for detailed local monitoring of the steel samples fatigue degradation. In order to evaluate stage of the damage process, a multivariate analysis of obtained signals parameters distributions and data fusion was carried out.
机译:本文采用两种电磁方法,巴克豪森噪声法和交流磁化过程观察法,对钢材样品的疲劳退化进行详细的局部监测。为了评估损伤过程的阶段,对获得的信号参数分布和数据融合进行了多变量分析。

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