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Study On corrosion Acoustic Emission Separation Based On Blind Source Separation

机译:基于盲源分离的腐蚀声发射分离研究

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When corrosion signals of tank bottom is detected by online method,it is essential to identify corrosion signals of different corrosion pots.It is a new method based on blind source separation.Blind source separation has produced many arithetics,among which entropy maximization is more mature.The aim of this paper is to separate corrosion signals by using entropy maximization arithmetic.Furthermore,the separation of linear mixed acoustic emission signals is achieved through simulation.The results indicate that blind source separation is an effective method for the separation of corrosion signals.
机译:在线检测罐底腐蚀信号时,识别不同腐蚀罐的腐蚀信号非常重要。这是一种基于盲源分离的新方法。盲源分离产生了很多数学方法,其中熵最大化更为成熟。本文的目的是利用熵最大化算法对腐蚀信号进行分离。此外,通过仿真实现了线性混合声发射信号的分离。结果表明,盲源分离是腐蚀信号分离的有效方法。

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