The early malfunction of abnormal wear can be predicted, diagnosed and handled in time by using ferrography to monitor the running procedure from the microscopic view.

铁谱磨粒分析技术，可从微观角度对动态过程进行监测，以预测、诊断和及时处理非正常磨损早期故障。

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It is very important for real-time numerical video monitor of the wear surface to find the best parameters for depicting the image of the wear surface and numeralize the relationships among them.

要想对磨损 表面进行实时的数字化视频监测，找出最能表达磨损 表面图像的参数并量化它们之间的关系，是至关重要的。

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