Aimed at the shortage of microfluidic chip structure,the channel junction’s structure was improved,the likelihood was decreased that the micro channel was blocked,and the inspection accuracy was improved.To improve the accuracy of the lubricating oil pollution level analysis and the metal particle image identification,all motion blur image degradation model was analyzed; the autocorrelation function was used to estimate the fuzzy measurement;the second Wiener filter was applied to restore blurred image;the wear particle image segmentation method based on lubricating oil background image and Otsu was applied;the last the numbers of the particles were counted and the equivalent diameter was calculated. Experiments show that the online realtime detection system for oil detection has very good effect. Its precision is above 95%.
HAO Yanlong, HE Hongkun, CHANG Qing, YAN Zhijun, PAN Xinxiang, ZHU Xinhe, CHENG Dong, MA Chunsheng. Online Analysis for Particles in Lubricating Oil Based on Microimage Recognition Method[J]. Lubrication Engineering,2016,41(5):59-64.