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盲卷积分离及其在机械振动信号消噪中的应用研究 被引量:7

BLIND SOURCES SEPARATION FOR CONVOLUTIVE MIXTURES AND ITS APPLICATIONS IN MECHANICAL VIBRATION NOISE ELIMINATION
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摘要 盲源分离应用于机械振动信号的预处理中,提供了一个新的处理机制,在机械状态监测和故障诊断中具有一定的价值。本文研究了盲卷积分离的理论,提出了基于限值VQM检验控制准则的盲分离算法,根据机械振动信号的特点探讨了该方法在机械振动信号瞬态成分和噪声卷积混叠信号分离中的应用,有效地提取了瞬态成分,表明了算法的有效性。 Blind Sources Separation (BSS) provides a new alterative for extraction of certain signal components in the signal corrupted by noise, and presents a new method for mechanical fault diagnosis. The basic theories about BSS are reviewed and a BSS algorithm for detection and control criteria based on the VQM threshold is proposed. The effectiveness of the BSS algorithm is verified through extraction of the transients in the signal produced by convolution of transients and noise.
出处 《振动与冲击》 EI CSCD 北大核心 2006年第2期30-34,共5页 Journal of Vibration and Shock
关键词 盲卷积分离 卷积混叠 限值VQM检验控制准则 机械振动信号 消噪 blind sources separation, convolution mixtures, detection and control criteria based on the VQM threshold, mechanical vibration signal, noise elimination
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