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局部均值分解在刀具故障诊断中的应用

Keywords: 局部均值分解,刀具,故障诊断,声发射

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Abstract:

为有效监测刀具磨损状态,提出一种基于局部均值分解的刀具故障诊断方法.将声发射信号自适应地分解为一系列乘积函数,选取包含主要故障信息的前8个乘积函数分量,获得每个乘积函数分量的平均能量,并组成特征向量.分别提取正常切削、中期磨损和严重磨损三种状态下的特征向量,利用频带能量的变化识别刀具磨损特征.实验结果表明,随着刀具的磨损,各乘积函数分量平均能量增加,并且在高频部分增加显著,该方法可以有效应用在刀具故障诊断中.

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