15 July 2002 Detection of damage in aluminum plates by wavelet analysis
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In this paper, structural health monitoring based on wavelet analysis is investigated to detect damages in thin aluminum plates. Conventional methods in health monitoring mainly focus on differences in the modal parameters such as natural frequency, but they require the existence of a large damage in order to detect the damage efficiently. In this paper the damage feature is extracted from the distribution energy metric by means of wavelet packet algorithms, which can demonstrate the large difference even when the damage is very small. Experimental research is carried out to validate the method used in our approach. Piezoceramic actuators and sensors are used to excite the plate and sense the induced vibrations. Wavelet analysis is then conducted using the recorded data to obtain the distribution energy metric for each plate. As a result, it is shown that the health status of thin aluminum plates with small holes can be effectively identified through the distribution energy metric.
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Bo Xie, Gangbing Song, "Detection of damage in aluminum plates by wavelet analysis", Proc. SPIE 4701, Smart Structures and Materials 2002: Smart Structures and Integrated Systems, (15 July 2002); doi: 10.1117/12.474654; https://doi.org/10.1117/12.474654

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