Development of hybrid particle analyzer for on-line condition monitoring of rubbing failure

(1)为了分析润滑油中磨粒的形态，我们研制了一套由光学显微镜和CCD摄像机组成的在线图像处理系统。研究了敏感区形状对磨粒分析精度的影响。(2)我们完成了一个程序软件，可以区分油中的磨损颗粒和气泡。(3)我们尝试使用粒子计数器和图像处理设备来制作混合粒子分析仪。(4)将研制的磨损分析仪应用于轴承金属（WJ2）在不同载荷下的磨损试验。发现尺寸分布和形状参数（即，长径比和粗糙度与磨损过程一致。(5)为了提供数据基础，我们收集了各种摩擦条件下磨粒的形状数据，根据这些数据，我们开发的监测系统能够实时预测润滑磨损的严重损害。

(1) We developed an on-line image processing system using an optical microscope and a CCD camera in order to analyze the shape of wear particles in lubricanting oil. We investigated the effects of the shape of sensing zone on the accuracy of anlyzing wear particles.(2) We completed a program software that can distinguish between wear particles and air bubbles in oil.(3) We tried to make a hybrid particle analyzer using a particle counter and an image processing device.(4) We applied our developed analyzer to the wear tests of bearing metal (WJ2) under various loads. It ws found that the variation of the size distribution and the shape parameters (i.e., aspect ratio and the ruggedness) of wear particles agreed with wear process.(5) In order to make deta base, we accumulated the data of the shape of wear particles under various rubbing conditions.From these results, our developed monitoring system is able to predict severe damage of lubricated wear at real-time.