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Sensor Fusion Approach to Automating the 'Coin Tap Test'

机译:自动执行“硬币抽头测试”的传感器融合方法

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In the "coin tap test", an operator taps with a coin-like light tool on the structure to be inspected, feeling the subtle difference of impact force and hearing the resulting sound to discriminate defective regions from normal ones. The test remains largely subjective, and there has been considerable uncertainty about the physical principles behind it. Analyzing and comparing the force measured by an accelerometer in the hammer and the resulting sound recorded with a microphone, this paper seeks an understanding of the fundamental principles underlying the individual measurement techniques. It gives a paradigm for sensor fusion via using the data from one modality to select the optimal time window for signal analysis of another modality.
机译:在“硬币敲击测试”中,操作员用硬币状的照明工具敲击要检查的结构,感觉到冲击力的细微差别,并听到产生的声音以将缺陷区域与正常区域区分开。该测试在很大程度上仍然是主观的,并且其背后的物理原理存在很大的不确定性。通过分析并比较加速度计在锤子中测得的力和用麦克风记录的结果声音,本文寻求对各个测量技术背后的基本原理的理解。它通过使用来自一个模态的数据来选择用于另一模态的信号分析的最佳时间窗口,为传感器融合提供了范例。

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