摘要
利用计算机图像处理技术, 采用灰度共生矩阵方法提取典型磨粒图像的纹理特征参数, 作为判断机械设备故障机理的判据之一。通过正常、滑动、切削、疲劳磨粒灰度共生矩阵纹理分析, 得到熵、能量、惯性矩等参数的范围。
Texture analysis method for wear particles images was presented for judging mechanical equipment fault mechanism. The rubbing, sliding, cutting and fatigue wear particles images were analyzed, and the range of several texture characteristic parameters to distinguish them based on gray level co-occurrence matrix were found.
出处
《润滑与密封》
EI
CAS
CSCD
北大核心
2005年第2期17-19,74,共4页
Lubrication Engineering
基金
教育部重点项目 (重点 02052教 )
国家自然科学基金项目(50275111)