针对传统盲源分离算法在机械振源不满足统计独立特性时，无法有效分离出振源信号的问题，提出了基于信号稀疏特性的相关机械源盲分离方法。盲源分离算法的关键在于准确地估计出混合矩阵。因此，首先提出了不相关源混合矩阵的估计方法；然后针对相关源，提出了有效剔除相关成分的方法，使得剩余信号可以按照不相关源进行处理。通过理论分析、仿真验证以及实测数据分析，验证了该方法的有效性。
Abstract
The conventional blind source separation (BSS) method, such as independent component analysis (ICA), is restricted to separate the correlated sources. However most vibration sources generated in different structure are correlated, which will result into the failure of ICA. So we propose a new BSS method which is capable of separating correlated sources. It is divided into two steps. Firstly, it is needed to remove the correlated component, and then the reminder component can be regarded as uncorrelated sources to process. Theoretical analysis, simulation and experiment are employed to validate the effectiveness of the proposed method.
关键词
盲源分离 /
振动源 /
相关源
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Key words
blind source separation /
vibration sources /
correlated sources
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参考文献
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脚注
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