基于改进的灰度共生矩阵参数特征提取的齿轮箱故障诊断  

Fault Analysis on Gear Box Base on Combination Gray Co-occurrence Matrix of Vibration Parameter Characteristics Feature Extraction

作　　者：何德鲁 李宏坤[1] 

机构地区：[1]大连理工大学,辽宁大连116042

出　　处：《机械管理开发》2016年第9期62-64,共3页Mechanical Management and Development

摘　　要：基于时频图像提出了一种改进的灰度共生矩阵参数特征提取的方法,该方法应用于时频图像的故障特征提取。经试验数据验证,相对于传统灰度共生矩阵参数,改进后的灰度共生矩阵参数有较好的特征提取效果。Based on the time-frequency image gray level co-occurrence matrix parameters of an improved feature extraction method, this paper applies fault feature extraction of the time-frequency images verified. By test data, compared with the traditional gray level co-occurrence matrix parameters, the omproved gray coaccurrence matris of vibration parameter has got good feature extraction effect.

关 键 词：非稳态信号 时频图像 特征提取 故障诊断 

分 类 号：TK407[动力工程及工程热物理—动力机械及工程]