冷镦机生产过程状态监控技术的研究

On Line Monitoring Techniques for Cold Header

建立了反映冷镦机生产过程状态特性的模式向量平面，在此平面上，用模式向量的端点位置刻划产品质量、模具状态，并制定了判断产品质量、模具状态的门限值。通过“自学习”建立控制模型，对生产过程进行在线监控。

A pattern vector plane was established for showing the dynamic characteristics of producing process for cold header.The movement of the end of pattern vector on the plane indicated the quality of the products and the state of the model during producing. A criterion for the quality of products was described.By “self learning”, the math model was established. Using vector method,the machining process was monitored on line.