An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes
An Automatic Process Monitoring Method Using Recurrence Plot in Progressive Stamping Processes
复制标题
渐进冲压过程中使用递归图的自动过程监控方法
DOI：
10.1109/tase.2015.2468058
复制
发表时间：
2016-04-01
影响因子：
5.6
通讯作者：
Shi, Jianjun
中科院分区：
文献类型：
--
作者：
Zhou, Cheng;Liu, Kaibo;Shi, Jianjun
在级进冲压过程中，基于吨位信号的状态监测具有重要的现实意义。连续冲压工艺中的一个典型故障是由于压力机中的零件传送故障而导致模具站中的一个模具站中的零件丢失。一个具有挑战性的问题是如何检测由于某些模具站中的零件丢失而导致的故障，因为这种故障通常会导致模具或压力机损坏，但仅提供吨位信号的微小变化。为了解决这个问题，本文提出了一种新的自动过程监控方法，使用递归图（RP）的方法。沿着开发的方法，我们还提供了一个详细的解释，在复发图的代表性模式。在此基础上，研究了不同工艺条件下的反应谱与吨位信号之间的对应关系。为了区分正常和故障状态下的吨位信号，我们采用递归量化分析（RQA）来表征RP中的关键模式。提出了一种参数学习算法，用于快速成形工艺参数的设定。一个真实的案例研究提供了验证我们的方法，并与现有文献的结果进行了比较，以证明这种建议的监测方法的优越性。
In progressive stamping processes, condition monitoring based on tonnage signals is of great practical significance. One typical fault in progressive stamping processes is a missing part in one of the die stations due to malfunction of part transfer in the press. One challenging question is how to detect the fault due to the missing part in certain die stations as such a fault often results in die or press damage, but only provides a small change in the tonnage signals. To address this issue, this article proposes a novel automatic process monitoring method using the recurrence plot (RP) method. Along with the developed method, we also provide a detailed interpretation of the representative patterns in the recurrence plot. Then, the corresponding relationship between the RPs and the tonnage signals under different process conditions is fully investigated. To differentiate the tonnage signals under normal and faulty conditions, we adopt the recurrence quantification analysis (RQA) to characterize the critical patterns in the RPs. A parameter learning algorithm is developed to set up the appropriate parameter of the RP method for progressive stamping processes. A real case study is provided to validate our approach, and the results are compared with the existing literature to demonstrate the outperformance of this proposed monitoring method.