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.
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.
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.
通过砂轮微观出刃形貌的图形化处理，建立磨粒出刃高度、出刃体积、磨粒切削前角和后角等特征参数模式。
Through the graphics processing of micro protrusion topography of wheel, the grain protrusion height, grain protrusion volume, grain rake angle and clearance angle were modeled.
通过砂轮微观出刃形貌的图形化处理，建立磨粒出刃高度、出刃体积、磨粒切削前角和后角等特征参数模式。
Through the graphics processing of micro protrusion topography of wheel, the grain protrusion height, grain protrusion volume, grain rake angle and clearance angle were modeled.
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