摘要
磨粒分析技术作为故障监测的重要手段被长期应用于工业生产之中。传统的人工分析系统须有专业人员操作,存在费时、主观性强以及费用高等缺点。针对这种情况,开发一套计算机磨粒分析智能系统。该系统能够实现自动磨粒的图像采集、图像分析与磨粒特征量化识别。介绍此磨粒分析系统所采用的三维(3D)图像采集及重构技术,同时将其结合图像处理以及图像缝合技术来实现对磨损表面特征的定量分析。实验测试结果表明所开发的磨粒分析智能系统对磨损表面特征的定量分析具有较好的可靠性能和较高的精度,从而为机械设备故障诊断与状态监测提供一种新的解决方法与思路,对磨粒分析智能系统在工业上的应用具有重要意义。
Oil and wear debris analysis has been used as a diagnostic tool in industry for a few decades.Existing analysis methods heavily rely on trained personnel,which can be time-consuming,subjective and costly.A computer assisted wear debris analysis system was developed.The developed system is able to perform image acquisition,analysis and particle recognition quantitatively and automatically.3D image acquisition, image processing and construction techniques for wear debris analysis were described.The above advancements are a foundation for the development of an automatic wear debris analysis system for fault diagnosis and machine condition monitoring for industry applications.
出处
《润滑与密封》
CAS
CSCD
北大核心
2010年第6期5-8,共4页
Lubrication Engineering
基金
澳大利亚研究理事会(ARC)基金资助项目(R00107928)
关键词
磨粒分析
三维图像采集
图像量化分析
故障诊断
机械设备状态监测
wear debris analysis
image acquisition in 3D
quantitative image analysis
fault diagnosis
machine condition monitoring
