Pseudo-multi-source-sampling complex domain FastICA for impact location
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摘要: 使用传感器阵列对材料结构冲击损伤进行定位,有助于及时发现损伤及潜在威胁,保障结构安全性。采用盲源分离(BSS)对传感器阵列信号进行预处理,提出单通道伪多源采样方法,利用每个传感器的分时段信息构建该传感器多源观测信号作为复域FastICA算法的输入,分离出每个传感器观测到的带有相位信息的冲击信号;结合阈值时延定位方法求解平面冲击事件的坐标。理论推导和数值仿真验证了本文设计的联合冲击定位算法的有效性。冲击定位平台上的实验结果表明,联合冲击定位算法可以从冲击-振动混合信号中分离出冲击信号,提高阵列传感器冲击定位的时延分析准确性。同时对传感器数量少于源信号的欠定BSS问题提供了一种解决方案。Abstract: Using the sensor array to locate impact can help to detect damage and its potential threats for structure materials, and to ensure structural safety. Sensor array signals are preprocessed by blind source separation (BSS). A single-channel pseudo-multi-source-sampling method is proposed, and data sequences of one sensor in different periods are used as multi-source observation signals of this sensor. The signals of all sensor arrays are used as inputs of complex domain FastICA impact extraction algorithm. Shock signals with phase information are separated from each sensor. The coordinates of impact events on test plane are solved by using the threshold time delay localization method. theoretical analysis and numerical simulation verify the effectiveness of the combined impact location algorithm. Experiment on the impact location platform shows that designed algorithm can separate out the impact from the signals mixed with vibration. It is suggested that the algorithm improves the precision of time delay analysis for impact location in the sensor array. It also provides a practicable solution for the underdetermined blind source separation problem while the number of sensors is less than the sources.
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