Study on SOBI Separation Method for Composite Materials Simulated Damage AE Signals

Yuan Mei, Yu Liang, Dong Shao-peng, Liang Yu-xuan
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Abstract

This paper introduces an improved de-noising SOBI (Second Order Blind Identification) separation method, which is used to separate mixed components of different composite materials damage acoustic emission simulated signals. The contrastive analysis and numerical simulations of a variety of blind source separation algorithms are investigated, which suggests that traditional SOBI performance degrades when noise is present. By introducing noise-elimination algorithms, SOBI is improved and optimized. The improvement of separation effect of the de-noising SOBI algorithm is proved by numerical simulation experiments. Finally, based on the online structural damage simulation and monitoring test-bed, the feasibility of the proposed method is validated.
复合材料模拟损伤声发射信号SOBI分离方法研究
本文介绍了一种改进的去噪SOBI(二阶盲识别)分离方法,用于分离不同复合材料损伤声发射模拟信号的混合成分。通过对各种盲源分离算法的对比分析和数值模拟,表明传统的SOBI算法在噪声存在时性能下降。通过引入消噪算法,对SOBI进行了改进和优化。数值模拟实验证明了SOBI算法对分离效果的改善。最后,基于在线结构损伤模拟与监测试验台,验证了所提方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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