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Detection of signal transients using independent component analysis and its application in gearbox condition monitoring

机译:使用独立分量分析检测信号瞬变及其在变速箱状态监测中的应用

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摘要

Feature extraction is considered of the higher-order statistics, which can effectively characterize the transients, using independent component analysis (ICA) for the one-dimensional measured vibration signal, and proposes a novel automatic technique for detecting the transients in vibration signals with low signal-to-noise ratio by ICA feature extraction.
机译:考虑到特征提取的高阶统计量,可以对一维测量的振动信号使用独立分量分析(ICA)来有效地表征瞬态,并提出了一种新颖的自动技术来检测低信号振动信号中的瞬态ICA特征提取获得信噪比。

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