油液监测技术中磨粒图像处理的研究进展  

Research Progress of Wear Debris Image Processing in Oil Monitoring Technology

作　　者：闫建颖 曹蔚[1] 韩昭 陈子琦 王栋[2] 瞿金秀 张曼 YAN Jianying;CAO Wei;HAN Zhao;CHEN Ziqi;WANG Dong;QU Jinxiu;ZHANG Man(School of Mechatronic Engineering,Xi􀆳an Technological University,Xi􀆳an Shaanxi 710021,China;Shaanxi Province Institute of Water Resources and Electric Power Investigation and Design,Xi􀆳an Shaanxi 710001,China)

机构地区：[1]西安工业大学机电工程学院,陕西西安710021 [2]陕西省水利电力勘测设计研究院,陕西西安710001

出　　处：《机床与液压》2022年第5期171-178,共8页Machine Tool & Hydraulics

基　　金：国家自然科学基金面上项目(52175113);国家自然科学基金青年基金项目(51905406);陕西省教育厅重点实验室科研计划项目(18JS044);陕西省重点研发计划-国际科技合作计划项目(2020KW-014);陕西省教育厅科研项目(21JK0693);西安市科协青年人才项目(095920211326)。

摘　　要：对油液监测技术中的磨粒图像特点深入分析,在此基础上,总结磨粒图像处理的方法,包括磨粒图像的模糊图像恢复、图像去噪、图像分割、磨粒特征提取。分别阐述了这4种方法在处理磨粒图像时能够达到的实验结果、遇到的一些问题及解决方案,得出在模糊图像恢复和图像去噪的基础上可以更好地完成图像分割,进一步可更好地完成磨粒特征提取,概述了运用这4种方法在机械磨损状态监测中可帮助了解机器的磨损状态、磨损程度、磨损部位、磨损类型等。结合目前的工作进展,总结磨粒图像处理技术的发展进程,提出磨粒图像处理技术仍然是状态监测中一项具有挑战的课题,并对磨粒图像处理技术的各个方向提出相应的展望。The image characteristics of wear particles in oil monitoring technology was analyzed in depth.On this basis,the im⁃age processing methods for wear particles were summarized,including blur image restoration,image denoising,image segmentation,and wear particle feature extraction.The experimental results,some problems and solutions when the four methods were used to treat wear debris image were expounded respectively.It is concluded that image segmentation can be done better on the basis of blur image restoration and image denoising,further feature extraction of wear debris can be better finished.It is summarized that the application of these four methods in mechanical wear state monitoring can help to understand the wear state,wear degree,wear position and wear type.Finally,combined with the current work progress,the development process of wear debris image processing technology was sum⁃marized,it was proposed that wear debris image processing technology was still a challenging subject in the condition monitoring,and the corresponding prospect of various directions of wear debris image processing technology was proposed.

关 键 词：油液监测 磨粒图像 图像去噪 图像分割 特征提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]