它首先利用粗糙集理论对磨粒特征参数进行约简，这样能够大大减少了神经网络的输入维数。

At first, debris feature parameters are simplified based on rough sets theory, and the input information-dimensions is reduced.

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分析计算了磨粒的形貌，纹理和颜色等几类特征参数，形成一套较为完备的磨粒特征描述体系。

By analyzing and calculating the shape, color and texture characteristic parameters of wear particles, a complete set of wear particle quantification characterization comes into being.

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提出了一种应用混沌特征参数提取铁谱磨粒特征的新方法。

In this paper, a new method to extract the chaos characteristic parameter from ferrograph wear particles by was proposed.

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