旋转机械振动故障诊断的灰度-梯度共生矩阵方法  

Vibration fault diagnosis method based on gray level-gradient co-occurrence matrix for rotating machinery

作　　者：窦唯[1] 刘占生[1] 王政先[1] 

机构地区：[1]哈尔滨工业大学能源科学与工程学院,哈尔滨150001

出　　处：《航空动力学报》2008年第10期1939-1943,共5页Journal of Aerospace Power

基　　金：国家自然科学基金(50875056)

摘　　要：研究了基于灰度-梯度共生矩阵的旋转机械故障诊断方法,利用灰度-梯度共生矩阵直接提取旋转机械振动参数图形中的特征信息,应用人工免疫系统实现旋转机械故障诊断.实验验证该方法可以获得较高的诊断精度,证明了该方法的可行性.A diagnosis method based on gray level gradient co-occurrence matrix was researched in this paper. This method was used to directly extract the features from graphics of rotating machinery by gray level gradient co-occurrence matrix. And, fault diagnosis of rotating machinery was achieved by using artificial immune system. The test proves that this method can get high diagnosis accuracy.

关 键 词：故障诊断 参数图形 灰度-梯度共生矩阵 纹理特征 旋转机械 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]