Study of Detecting Impact Damage for Composite Material Based on Intelligent Sensor
作者： Zhou Zu-de , Liu Quan , Jiang Xue-mei
DOI: 10.1007/BF02852636
关键词:
摘要: A system of impact damage detection for composite material structures by using an intelligent sensor embedded in is described. In the course signal processing, wavelet transform has exceptional property temporal frequency localization, whereas Kohonen artificial neural networks have excellent characteristics self-learning and fault-tolerance. By combining merits abstracting time-frequency domain eigenvalues improving ratio to noise this system, can be properly recognized.
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