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.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
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)
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
fault diagnosis
parameters image
gray gradient co-occurrence matrix
texture feature
rotating machinery
